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Best Graph Database Solutions

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Graph databases use topographical data models to store data. These databases connect specific data points (nodes) and create relationships (edges) in the form of graphs that can then be pulled by the user with queries. Nodes can represent customers, companies, or any data a company chooses to record. Edges are formed by the database so that relationships between nodes are easily understood by the user. Businesses can utilize graph databases when they are pulling data and do not want to spend time organizing it into distinct relationships. Large enterprises may use complex queries to pull precise and in-depth information regarding their customer and user information or product tracking data, among other uses. Database administrators can scale high data values and still create usable models. Some businesses may choose to run an RDF database, a type of graph database that focuses on retrieving triples, or information organized in a subject-predicate-object relationship. Similar types of databases include document database tools, key-value store tools, object-orientated database tools and more. Developers who are looking for an affordable solution can look to free database software.

To qualify for inclusion in the Graph Database category, a product must:

Provide data storage
Record and represent data in a topographical schema
Allow users to retrieve the data using query language

Best Graph Databases At A Glance

Highest Performer:
Easiest to Use:
Best Free Software:
Top Trending:
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Best Free Software:
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
68 Listings in Graph Databases Available
(46)4.5 out of 5
1st Easiest To Use in Graph Databases software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 35% Small-Business
    • 15% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Neptune Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Integrations
    2
    Compatibility
    1
    Monitoring
    1
    Performance Speed
    1
    Scalability
    1
    Cons
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Neptune features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.4
    Data Model
    Average: 8.8
    9.3
    Data Types
    Average: 8.8
    9.7
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,150 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

Users
No information available
Industries
  • Computer Software
Market Segment
  • 35% Small-Business
  • 15% Mid-Market
Amazon Neptune Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Integrations
2
Compatibility
1
Monitoring
1
Performance Speed
1
Scalability
1
Cons
Learning Curve
1
Amazon Neptune features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.4
Data Model
Average: 8.8
9.3
Data Types
Average: 8.8
9.7
Built - In Search
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,471 Twitter followers
LinkedIn® Page
www.linkedin.com
143,150 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(112)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in Graph Databases software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

    Users
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 22% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ArangoDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    20
    Features
    13
    Flexibility
    9
    Intuitive
    9
    Querying
    9
    Cons
    Lack of Information
    8
    Improvement Needed
    7
    Learning Curve
    6
    Poor Usability
    6
    Query Complexity
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ArangoDB features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.1
    Data Model
    Average: 8.8
    8.9
    Data Types
    Average: 8.8
    8.4
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ArangoDB
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @arangodb
    11,680 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    74 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

Users
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 22% Mid-Market
ArangoDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
20
Features
13
Flexibility
9
Intuitive
9
Querying
9
Cons
Lack of Information
8
Improvement Needed
7
Learning Curve
6
Poor Usability
6
Query Complexity
6
ArangoDB features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.1
Data Model
Average: 8.8
8.9
Data Types
Average: 8.8
8.4
Built - In Search
Average: 8.5
Seller Details
Seller
ArangoDB
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@arangodb
11,680 Twitter followers
LinkedIn® Page
www.linkedin.com
74 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Apollo Graph Platform unifies GraphQL across apps and services, unlocking faster delivery for engineering teams

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • apollographql.com features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    9.8
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    San Francisco, US
    Twitter
    @apollographql
    47,353 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    253 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Apollo Graph Platform unifies GraphQL across apps and services, unlocking faster delivery for engineering teams

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 40% Small-Business
apollographql.com features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
9.8
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
San Francisco, US
Twitter
@apollographql
47,353 Twitter followers
LinkedIn® Page
www.linkedin.com
253 employees on LinkedIn®
(133)4.5 out of 5
5th Easiest To Use in Graph Databases software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platfor

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neo4j Graph Database Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Database Management
    3
    Features
    3
    Flexibility
    2
    Speed
    2
    Cons
    Learning Curve
    2
    Missing Features
    2
    Backup Issues
    1
    Data Management Issues
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neo4j Graph Database features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    7.7
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Neo4j
    Year Founded
    2007
    HQ Location
    San Mateo, CA
    Twitter
    @neo4j
    46,335 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    905 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platfor

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Small-Business
  • 30% Mid-Market
Neo4j Graph Database Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Database Management
3
Features
3
Flexibility
2
Speed
2
Cons
Learning Curve
2
Missing Features
2
Backup Issues
1
Data Management Issues
1
Difficult Learning
1
Neo4j Graph Database features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
7.7
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.0
Built - In Search
Average: 8.5
Seller Details
Seller
Neo4j
Year Founded
2007
HQ Location
San Mateo, CA
Twitter
@neo4j
46,335 Twitter followers
LinkedIn® Page
www.linkedin.com
905 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Serverless, self-serve and affordable analytics designed to help you get the most out of your data.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Small-Business
    • 37% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphJSON features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Data Model
    Average: 8.8
    7.9
    Data Types
    Average: 8.8
    8.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GraphJSON
    HQ Location
    N/A
    Twitter
    @GraphJSON
    528 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Serverless, self-serve and affordable analytics designed to help you get the most out of your data.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Small-Business
  • 37% Mid-Market
GraphJSON features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
8.7
Data Model
Average: 8.8
7.9
Data Types
Average: 8.8
8.2
Built - In Search
Average: 8.5
Seller Details
Seller
GraphJSON
HQ Location
N/A
Twitter
@GraphJSON
528 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(92)4.4 out of 5
View top Consulting Services for Elastic Stack
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elastic Stack Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Features
    1
    AI Integration
    1
    Automation
    1
    Data Storage
    1
    Data Visualization
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elastic Stack features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    9.6
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @elastic
    63,875 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,436 employees on LinkedIn®
    Ownership
    NYSE: ESTC
Product Description
How are these determined?Information
This description is provided by the seller.

See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Mid-Market
  • 36% Enterprise
Elastic Stack Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Features
1
AI Integration
1
Automation
1
Data Storage
1
Data Visualization
1
Cons
This product has not yet received any negative sentiments.
Elastic Stack features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
9.6
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.5
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@elastic
63,875 Twitter followers
LinkedIn® Page
www.linkedin.com
4,436 employees on LinkedIn®
Ownership
NYSE: ESTC
(60)3.9 out of 5
4th Easiest To Use in Graph Databases software
View top Consulting Services for OrientDB
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Entry Level Price:FREE
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relation

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OrientDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Storage
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OrientDB features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.6
    Data Model
    Average: 8.8
    7.8
    Data Types
    Average: 8.8
    8.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    299,880 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    129,051 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relation

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Small-Business
  • 42% Mid-Market
OrientDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Storage
1
Cons
This product has not yet received any negative sentiments.
OrientDB features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
8.6
Data Model
Average: 8.8
7.8
Data Types
Average: 8.8
8.2
Built - In Search
Average: 8.5
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
299,880 Twitter followers
LinkedIn® Page
www.linkedin.com
129,051 employees on LinkedIn®
Ownership
NYSE:SAP
(43)4.6 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataStax Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    15
    Ease of Use
    15
    Features
    11
    Implementation Ease
    9
    Integrations
    8
    Cons
    Data Management Issues
    5
    Learning Difficulty
    5
    Difficult Learning
    4
    Learning Curve
    4
    Database Integration Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    9.4
    Data Model
    Average: 8.8
    9.4
    Data Types
    Average: 8.8
    9.4
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Company Website
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    Twitter
    @DataStax
    98,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    690 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Small-Business
  • 33% Enterprise
DataStax Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
15
Ease of Use
15
Features
11
Implementation Ease
9
Integrations
8
Cons
Data Management Issues
5
Learning Difficulty
5
Difficult Learning
4
Learning Curve
4
Database Integration Issues
3
DataStax features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
9.4
Data Model
Average: 8.8
9.4
Data Types
Average: 8.8
9.4
Built - In Search
Average: 8.5
Seller Details
Seller
DataStax
Company Website
Year Founded
2010
HQ Location
Santa Clara, CA
Twitter
@DataStax
98,388 Twitter followers
LinkedIn® Page
www.linkedin.com
690 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering o

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tigergraph features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    9.3
    Data Model
    Average: 8.8
    8.5
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    Redwood City, CA
    Twitter
    @TigerGraphDB
    12,868 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    137 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering o

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 36% Mid-Market
Tigergraph features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
9.3
Data Model
Average: 8.8
8.5
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Year Founded
2012
HQ Location
Redwood City, CA
Twitter
@TigerGraphDB
12,868 Twitter followers
LinkedIn® Page
www.linkedin.com
137 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FlockDB features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Twitter
    Year Founded
    2006
    HQ Location
    San Francisco, CA
    LinkedIn® Page
    www.linkedin.com
    1,238 employees on LinkedIn®
    Ownership
    NYSE: TWTR
    Total Revenue (USD mm)
    $3,716
Product Description
How are these determined?Information
This description is provided by the seller.

FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

Users
No information available
Industries
No information available
Market Segment
  • 36% Mid-Market
  • 36% Small-Business
FlockDB features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Twitter
Year Founded
2006
HQ Location
San Francisco, CA
LinkedIn® Page
www.linkedin.com
1,238 employees on LinkedIn®
Ownership
NYSE: TWTR
Total Revenue (USD mm)
$3,716
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphBase features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    7.8
    Data Model
    Average: 8.8
    8.1
    Data Types
    Average: 8.8
    6.9
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    FactNexus
    Year Founded
    2010
    HQ Location
    Sydney
    Twitter
    @AskKayBot
    6 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Mid-Market
GraphBase features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
7.8
Data Model
Average: 8.8
8.1
Data Types
Average: 8.8
6.9
Built - In Search
Average: 8.5
Seller Details
Seller
FactNexus
Year Founded
2010
HQ Location
Sydney
Twitter
@AskKayBot
6 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Discover powerful SharePoint Solutions for your business needs. From document management to team collaboration, our expert team can customize SharePoint to fit your unique requirements. Contact us t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Titan features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    10.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    Twitter
    @DataStax
    98,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    690 employees on LinkedIn®
    Phone
    650-389-6000
Product Description
How are these determined?Information
This description is provided by the seller.

Discover powerful SharePoint Solutions for your business needs. From document management to team collaboration, our expert team can customize SharePoint to fit your unique requirements. Contact us t

Users
No information available
Industries
No information available
Market Segment
  • 45% Enterprise
  • 27% Mid-Market
Titan features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
10.0
Built - In Search
Average: 8.5
Seller Details
Seller
DataStax
Year Founded
2010
HQ Location
Santa Clara, CA
Twitter
@DataStax
98,388 Twitter followers
LinkedIn® Page
www.linkedin.com
690 employees on LinkedIn®
Phone
650-389-6000
(22)4.7 out of 5
2nd Easiest To Use in Graph Databases software
Save to My Lists
Entry Level Price:$39.99 per backend per...
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalabili

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 68% Small-Business
    • 18% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dgraph features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.7
    Data Model
    Average: 8.8
    9.5
    Data Types
    Average: 8.8
    9.4
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    San Francisco, CA
    Twitter
    @dgraphlabs
    10 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalabili

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 68% Small-Business
  • 18% Enterprise
Dgraph features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 8.8
9.7
Data Model
Average: 8.8
9.5
Data Types
Average: 8.8
9.4
Built - In Search
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
San Francisco, CA
Twitter
@dgraphlabs
10 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clien

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphQL features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @GraphQL
    116,882 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clien

Users
No information available
Industries
No information available
Market Segment
  • 64% Mid-Market
  • 36% Small-Business
GraphQL features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@GraphQL
116,882 Twitter followers
LinkedIn® Page
www.linkedin.com
9 employees on LinkedIn®
Entry Level Price:$71 per month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Security
    1
    Ease of Use
    1
    Performance
    1
    Performance Analysis
    1
    Performance Improvement
    1
    Cons
    Complex Data Modeling
    1
    Data Limitations
    1
    High Memory Usage
    1
    High Resource Consumption
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Cloud features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,627 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,233 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Small-Business
  • 39% Mid-Market
Redis Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Security
1
Ease of Use
1
Performance
1
Performance Analysis
1
Performance Improvement
1
Cons
Complex Data Modeling
1
Data Limitations
1
High Memory Usage
1
High Resource Consumption
1
Lack of Features
1
Redis Cloud features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,627 Twitter followers
LinkedIn® Page
www.linkedin.com
1,233 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive busine

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Stardog features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data Model
    Average: 8.8
    8.1
    Data Types
    Average: 8.8
    8.8
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Arlington, VA
    Twitter
    @StardogHQ
    4,047 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    81 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive busine

Users
No information available
Industries
No information available
Market Segment
  • 41% Small-Business
  • 29% Enterprise
Stardog features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data Model
Average: 8.8
8.1
Data Types
Average: 8.8
8.8
Built - In Search
Average: 8.5
Seller Details
HQ Location
Arlington, VA
Twitter
@StardogHQ
4,047 Twitter followers
LinkedIn® Page
www.linkedin.com
81 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cayley features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cayley
    HQ Location
    N/A
    Twitter
    @cayleygraph
    734 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 36% Mid-Market
Cayley features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Cayley
HQ Location
N/A
Twitter
@cayleygraph
734 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Entry Level Price:0.00 USD
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Graph is a fully managed property graph-as-a-service that enables you to store, query and visualize data points, connections and properties. Highly available Provides service that is always up an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Graph features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    7.2
    Data Types
    Average: 8.8
    7.8
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    331,391 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Graph is a fully managed property graph-as-a-service that enables you to store, query and visualize data points, connections and properties. Highly available Provides service that is always up an

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 30% Small-Business
IBM Graph features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
7.2
Data Types
Average: 8.8
7.8
Built - In Search
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EdgeDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.5
    Data Model
    Average: 8.8
    7.1
    Data Types
    Average: 8.8
    7.9
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EdgeDB
    Year Founded
    2019
    HQ Location
    Toronto, CA
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links.

Users
No information available
Industries
No information available
Market Segment
  • 63% Small-Business
  • 25% Mid-Market
EdgeDB features and usability ratings that predict user satisfaction
0.0
No information available
7.5
Data Model
Average: 8.8
7.1
Data Types
Average: 8.8
7.9
Built - In Search
Average: 8.5
Seller Details
Seller
EdgeDB
Year Founded
2019
HQ Location
Toronto, CA
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
(8)4.6 out of 5
View top Consulting Services for Oracle Spatial and Graph
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and lo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Spatial and Graph features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.0
    Data Model
    Average: 8.8
    9.0
    Data Types
    Average: 8.8
    9.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    822,135 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    204,855 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and lo

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Mid-Market
Oracle Spatial and Graph features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.0
Data Model
Average: 8.8
9.0
Data Types
Average: 8.8
9.0
Built - In Search
Average: 8.5
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
822,135 Twitter followers
LinkedIn® Page
www.linkedin.com
204,855 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 22% Enterprise
    • 17% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Cosmos DB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customization
    3
    Flexibility
    3
    Easy Integrations
    2
    Integrations
    2
    API Integration
    1
    Cons
    Cost Increase
    2
    Cost Issues
    2
    Expensive
    2
    Complex Usage
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    237,523 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 22% Enterprise
  • 17% Small-Business
Azure Cosmos DB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customization
3
Flexibility
3
Easy Integrations
2
Integrations
2
API Integration
1
Cons
Cost Increase
2
Cost Issues
2
Expensive
2
Complex Usage
1
Difficult Learning
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
237,523 employees on LinkedIn®
Ownership
MSFT
Entry Level Price:0
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 64% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Fauna Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Scalability
    6
    Flexibility
    5
    Cost-Effective
    3
    Customer Support
    3
    Cons
    Difficult Learning
    4
    Poor Documentation
    3
    Complexity
    1
    Complex Setup
    1
    Cost Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fauna features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    9.2
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fauna
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @fauna
    94,658 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 64% Small-Business
  • 24% Mid-Market
Fauna Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Scalability
6
Flexibility
5
Cost-Effective
3
Customer Support
3
Cons
Difficult Learning
4
Poor Documentation
3
Complexity
1
Complex Setup
1
Cost Issues
1
Fauna features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
9.2
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.5
Seller Details
Seller
Fauna
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@fauna
94,658 Twitter followers
LinkedIn® Page
www.linkedin.com
23 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Ap

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HugeGraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    8.9
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    HugeGraph
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Ap

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
HugeGraph features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
8.9
Built - In Search
Average: 8.5
Seller Details
Seller
HugeGraph
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than al

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Small-Business
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RDFox features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    7.8
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Oxford, GB
    Twitter
    @oxfordsemantic
    1,682 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than al

Users
No information available
Industries
No information available
Market Segment
  • 36% Small-Business
  • 29% Mid-Market
RDFox features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
7.8
Built - In Search
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
Oxford, GB
Twitter
@oxfordsemantic
1,682 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ultipa Graph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.6
    Data Model
    Average: 8.8
    9.6
    Data Types
    Average: 8.8
    9.6
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ultipa
    Year Founded
    2019
    HQ Location
    Pleasanton, US
    LinkedIn® Page
    www.linkedin.com
    61 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major d

Users
No information available
Industries
No information available
Market Segment
  • 40% Mid-Market
  • 40% Small-Business
Ultipa Graph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.6
Data Model
Average: 8.8
9.6
Data Types
Average: 8.8
9.6
Built - In Search
Average: 8.5
Seller Details
Seller
Ultipa
Year Founded
2019
HQ Location
Pleasanton, US
LinkedIn® Page
www.linkedin.com
61 employees on LinkedIn®
(12)4.2 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • data.world Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Data Discovery
    2
    Data Visualization
    2
    Integrations
    2
    Analytics
    1
    Cons
    Data Duplication
    1
    Data Inaccuracy
    1
    Data Quality
    1
    Learning Curve
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • data.world features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Data Model
    Average: 8.8
    9.4
    Data Types
    Average: 8.8
    8.9
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Austin, Texas
    Twitter
    @datadotworld
    5,590 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    216 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 25% Mid-Market
data.world Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Data Discovery
2
Data Visualization
2
Integrations
2
Analytics
1
Cons
Data Duplication
1
Data Inaccuracy
1
Data Quality
1
Learning Curve
1
Missing Features
1
data.world features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.9
Data Model
Average: 8.8
9.4
Data Types
Average: 8.8
8.9
Built - In Search
Average: 8.5
Seller Details
Company Website
Year Founded
2016
HQ Location
Austin, Texas
Twitter
@datadotworld
5,590 Twitter followers
LinkedIn® Page
www.linkedin.com
216 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FalkorDB features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    6.7
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    FalkorDB
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
FalkorDB features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
6.7
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Seller
FalkorDB
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Software Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Speed
    3
    Ease of Use
    2
    Simple
    2
    Ease of Setup
    1
    Easy Integrations
    1
    Cons
    Complexity
    1
    Data Size Limitations
    1
    Lack of Features
    1
    Limited Chart Features
    1
    Query Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Software features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,627 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,233 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 27% Mid-Market
Redis Software Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Speed
3
Ease of Use
2
Simple
2
Ease of Setup
1
Easy Integrations
1
Cons
Complexity
1
Data Size Limitations
1
Lack of Features
1
Limited Chart Features
1
Query Complexity
1
Redis Software features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
6.7
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,627 Twitter followers
LinkedIn® Page
www.linkedin.com
1,233 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AllegroGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Franz
    Year Founded
    1984
    HQ Location
    Oakland, CA
    Twitter
    @Franzinc
    2,284 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
AllegroGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Franz
Year Founded
1984
HQ Location
Oakland, CA
Twitter
@Franzinc
2,284 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bitsy features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    10.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Bitsy
    HQ Location
    Cottonwood Heights, UT
    Twitter
    @Bitbucket
    47,014 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Bitsy features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
10.0
Built - In Search
Average: 8.5
Seller Details
Seller
Bitsy
HQ Location
Cottonwood Heights, UT
Twitter
@Bitbucket
47,014 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    https://www.connectedpapers.com is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. It started as a weekend side project be

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Connected Papers features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

https://www.connectedpapers.com is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. It started as a weekend side project be

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Connected Papers features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HGraphDB is a client layer for using HBase as a graph database. It is an implementation of the Apache TinkerPop 3 interfaces.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HGraphDB features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

HGraphDB is a client layer for using HBase as a graph database. It is an implementation of the Apache TinkerPop 3 interfaces.

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
HGraphDB features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ArchiGraph is an ontology-based data management and data virtualization platform. It includes a collaborative ontology editor, a SHACL constraints and rules construction tool, and a middleware layer p

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ArchiGraph platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TriniData
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ArchiGraph is an ontology-based data management and data virtualization platform. It includes a collaborative ontology editor, a SHACL constraints and rules construction tool, and a middleware layer p

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
ArchiGraph platform features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.5
Seller Details
Seller
TriniData
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BaseQL provides a dynamic GraphQL API for Airtable bases and Google Sheets. BaseQL is built for speed of development without the hassle of a managed database or complicated REST endpoints. It enable

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BaseQL features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BaseQL
    HQ Location
    Miami, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BaseQL provides a dynamic GraphQL API for Airtable bases and Google Sheets. BaseQL is built for speed of development without the hassle of a managed database or complicated REST endpoints. It enable

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
BaseQL features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.5
Seller Details
Seller
BaseQL
HQ Location
Miami, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ontotext GraphDB ™ allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. The database is the preferred choice of both small ind

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphDB features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ontotext
    Year Founded
    2000
    HQ Location
    Sofia, Sofia
    Twitter
    @ontotext
    5,406 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    118 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ontotext GraphDB ™ allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. The database is the preferred choice of both small ind

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
GraphDB features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Ontotext
Year Founded
2000
HQ Location
Sofia, Sofia
Twitter
@ontotext
5,406 Twitter followers
LinkedIn® Page
www.linkedin.com
118 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gun features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Gun.io
    Year Founded
    2013
    HQ Location
    Nashville, TN
    Twitter
    @GUNdotIO
    8,997 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    93 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Gun features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Gun.io
Year Founded
2013
HQ Location
Nashville, TN
Twitter
@GUNdotIO
8,997 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HyperGraphDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Montreal, Canada
    Twitter
    @hypergraphdb
    21 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
HyperGraphDB features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
Montreal, Canada
Twitter
@hypergraphdb
21 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the im

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Memgraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    London, GB
    Twitter
    @memgraphdb
    1,476 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the im

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Memgraph features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2016
HQ Location
London, GB
Twitter
@memgraphdb
1,476 Twitter followers
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A truly distributed, linear scalable, lightning-fast graph database.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NebulaGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    10.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    VeSOFT
    Year Founded
    2018
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A truly distributed, linear scalable, lightning-fast graph database.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
NebulaGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
10.0
Built - In Search
Average: 8.5
Seller Details
Seller
VeSOFT
Year Founded
2018
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, lett

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RecallGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Data Model
    Average: 8.8
    7.5
    Data Types
    Average: 8.8
    7.5
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, lett

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
RecallGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
7.5
Data Model
Average: 8.8
7.5
Data Types
Average: 8.8
7.5
Built - In Search
Average: 8.5
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Relay features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.5
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    7.5
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Relay
    HQ Location
    Indianapolis, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Relay features and usability ratings that predict user satisfaction
0.0
No information available
7.5
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
7.5
Built - In Search
Average: 8.5
Seller Details
Seller
Relay
HQ Location
Indianapolis, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Timbr.ai merges the most advanced knowledge graph technology with the SQL ecosystem. Timbr helps some of the biggest companies in the world make faster, better decisions with their data modeled as a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Timbr Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    SQL Support
    3
    Data Management
    2
    Features
    2
    Query Efficiency
    2
    Data Analysis
    1
    Cons
    Learning Curve
    3
    Training Deficiencies
    2
    Complex Usability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Timbr features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Timbr.ai
    Year Founded
    2018
    HQ Location
    Raanana , IL
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Timbr.ai merges the most advanced knowledge graph technology with the SQL ecosystem. Timbr helps some of the biggest companies in the world make faster, better decisions with their data modeled as a

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 29% Enterprise
Timbr Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
SQL Support
3
Data Management
2
Features
2
Query Efficiency
2
Data Analysis
1
Cons
Learning Curve
3
Training Deficiencies
2
Complex Usability
1
Timbr features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Seller
Timbr.ai
Year Founded
2018
HQ Location
Raanana , IL
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    VelocityGraph extends the object-oriented database VelocityDB into a graph database.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VelocityGraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Data Model
    Average: 8.8
    7.5
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Las Vegas, NV
    Twitter
    @VelocityDB
    64 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

VelocityGraph extends the object-oriented database VelocityDB into a graph database.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
VelocityGraph features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Data Model
Average: 8.8
7.5
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Year Founded
2011
HQ Location
Las Vegas, NV
Twitter
@VelocityDB
64 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights across the enterprise. Solving your complex connected data problems at re

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AnzoGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2007
    HQ Location
    Boston, Massachusetts
    LinkedIn® Page
    www.linkedin.com
    28 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights across the enterprise. Solving your complex connected data problems at re

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
AnzoGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2007
HQ Location
Boston, Massachusetts
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache AGE® is a PostgreSQL extension that provides graph database functionality. The goal of Apache AGE® is to provide graph data processing and analytics capability to all relational databases. Th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache AGE features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Twitter
    @apache_age
    748 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache AGE® is a PostgreSQL extension that provides graph database functionality. The goal of Apache AGE® is to provide graph data processing and analytics capability to all relational databases. Th

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Apache AGE features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.5
Seller Details
Twitter
@apache_age
748 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ApertureDB is a database purpose-built for multimodal AI. It combines the functionalities of a vector database, graph database, and multimodal data management to allow users to manage all their data w

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ApertureDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    10.0
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Mountain View, US
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ApertureDB is a database purpose-built for multimodal AI. It combines the functionalities of a vector database, graph database, and multimodal data management to allow users to manage all their data w

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
ApertureDB features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
10.0
Built - In Search
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
Mountain View, US
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. Blazegraph is available in a range of versions that provide solutions to the challenge of

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blazegraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Greensboro, US
    Twitter
    @BlazeGraph
    707 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. Blazegraph is available in a range of versions that provide solutions to the challenge of

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Blazegraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2006
HQ Location
Greensboro, US
Twitter
@BlazeGraph
707 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Graph Engine features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    237,523 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Graph Engine features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
237,523 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TerminusDB is an open source in-memory graph database designed for the web age. TerminusDB makes a radical departure from historical architectures. First, we implement a graph database with a strong

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TerminusDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Dublin, IE
    Twitter
    @TerminusDB
    1,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TerminusDB is an open source in-memory graph database designed for the web age. TerminusDB makes a radical departure from historical architectures. First, we implement a graph database with a strong

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
TerminusDB features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
Dublin, IE
Twitter
@TerminusDB
1,228 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TIBCO Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIBCO Graph Database features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TIBCO
    Year Founded
    1997
    HQ Location
    Santa Clara, CA
    Twitter
    @TIBCO
    20,741 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,652 employees on LinkedIn®
    Phone
    1 650 846 1000
Product Description
How are these determined?Information
This description is provided by the seller.

TIBCO Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
TIBCO Graph Database features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
TIBCO
Year Founded
1997
HQ Location
Santa Clara, CA
Twitter
@TIBCO
20,741 Twitter followers
LinkedIn® Page
www.linkedin.com
2,652 employees on LinkedIn®
Phone
1 650 846 1000
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform pow

    Users
    • Software Engineer
    Industries
    • Marketing and Advertising
    • Information Technology and Services
    Market Segment
    • 45% Mid-Market
    • 34% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aerospike features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aerospike
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @aerospikedb
    7,908 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    284 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Aerospike Real-time Data Platform enables organizations to act instantly across billions of transactions while reducing server footprint by up to 80 percent. The Aerospike multi-cloud platform pow

Users
  • Software Engineer
Industries
  • Marketing and Advertising
  • Information Technology and Services
Market Segment
  • 45% Mid-Market
  • 34% Enterprise
Aerospike features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Aerospike
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@aerospikedb
7,908 Twitter followers
LinkedIn® Page
www.linkedin.com
284 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aerospike Graph is a high-performance, distributed graph database designed to manage and query extensive graph datasets with exceptional speed and scalability. Built upon the robust Aerospike Database

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aerospike Graph features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Aerospike
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @aerospikedb
    7,908 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    284 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aerospike Graph is a high-performance, distributed graph database designed to manage and query extensive graph datasets with exceptional speed and scalability. Built upon the robust Aerospike Database

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Aerospike Graph features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Aerospike
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@aerospikedb
7,908 Twitter followers
LinkedIn® Page
www.linkedin.com
284 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BangDB is a platform that provides an end-to-end solution for real-time big data analytics process.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BangDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Options
    1
    Search Efficiency
    1
    Visibility
    1
    Cons
    Difficult Learning
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BangDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IQLECT
    HQ Location
    Bangalore, India
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BangDB is a platform that provides an end-to-end solution for real-time big data analytics process.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
BangDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Options
1
Search Efficiency
1
Visibility
1
Cons
Difficult Learning
1
Learning Difficulty
1
BangDB features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
IQLECT
HQ Location
Bangalore, India
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The fastest and most usable knowledge graph database. Launch intelligent products in record time. Data Graphs is the fastest enterprise Knowledge Graph Database platform, both in performance and in

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Data Graphs features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Leatherhead, GB
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The fastest and most usable knowledge graph database. Launch intelligent products in record time. Data Graphs is the fastest enterprise Knowledge Graph Database platform, both in performance and in

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Data Graphs features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2014
HQ Location
Leatherhead, GB
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Grafbase is a GraphQL platform designed for managing federated graphs in enterprise environments, across distributed systems. It provides a unified gateway that allows teams to compose APIs from multi

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Enterprise GraphQL Platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Grafbase
    Year Founded
    2021
    HQ Location
    San Francisco, US
    LinkedIn® Page
    linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Grafbase is a GraphQL platform designed for managing federated graphs in enterprise environments, across distributed systems. It provides a unified gateway that allows teams to compose APIs from multi

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Enterprise GraphQL Platform features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Grafbase
Year Founded
2021
HQ Location
San Francisco, US
LinkedIn® Page
linkedin.com
13 employees on LinkedIn®
0 ratings
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fluree features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fluree
    Year Founded
    2017
    HQ Location
    Winston Salem, US
    LinkedIn® Page
    www.linkedin.com
    50 employees on LinkedIn®
We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Fluree features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Fluree
Year Founded
2017
HQ Location
Winston Salem, US
LinkedIn® Page
www.linkedin.com
50 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Gemini Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Useful
    1
    Cons
    Complexity
    1
    Complex Usage
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gemini Data features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    Greenbrae, US
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Gemini Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Useful
1
Cons
Complexity
1
Complex Usage
1
Learning Difficulty
1
Gemini Data features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2015
HQ Location
Greenbrae, US
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Graph Story provides graph databases, applications and solutions as a service.

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Graph Story features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Twitter
    @graphstoryco
    597 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Graph Story provides graph databases, applications and solutions as a service.

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Graph Story features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Twitter
@graphstoryco
597 Twitter followers
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    JanusGraph is a scalable graph database optimized for storing and querying highly-interconnected data and provides you with simple and efficient data retrieval from complex structures

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Compose for JanusGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    331,391 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

JanusGraph is a scalable graph database optimized for storing and querying highly-interconnected data and provides you with simple and efficient data retrieval from complex structures

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
IBM Compose for JanusGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Macrometa is a hyper-distributed cloud platform featuring a Global Data Network (GDN) and PhotonIQ, an AI-powered Edge Delivery Network. With over 175 points of presence (PoPs) worldwide, Macrometa em

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Macrometa features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Macrometa
    Year Founded
    2017
    Twitter
    @macrometa
    408 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Macrometa is a hyper-distributed cloud platform featuring a Global Data Network (GDN) and PhotonIQ, an AI-powered Edge Delivery Network. With over 175 points of presence (PoPs) worldwide, Macrometa em

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Macrometa features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Macrometa
Year Founded
2017
Twitter
@macrometa
408 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    mapgraph has a basic in-memory database for storing linked maps in Clojure and ClojureScript

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • mapgraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    mapgraph
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

mapgraph has a basic in-memory database for storing linked maps in Clojure and ClojureScript

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
mapgraph features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
mapgraph
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OrigoDB enables you to build high quality, mission critical systems with real-time performance at a fraction of the time and cost.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OrigoDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OrigoDB
    Year Founded
    1989
    HQ Location
    EDINBURGH, GB
    LinkedIn® Page
    www.linkedin.com
    160 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OrigoDB enables you to build high quality, mission critical systems with real-time performance at a fraction of the time and cost.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
OrigoDB features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
OrigoDB
Year Founded
1989
HQ Location
EDINBURGH, GB
LinkedIn® Page
www.linkedin.com
160 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Relay is designed for high performance at any scale. Relay keeps management of data-fetching easy, whether your app has tens, hundreds, or thousands of components. And thanks to Relay’s incremental co

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Relay Framework features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Relay.dev
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Relay is designed for high performance at any scale. Relay keeps management of data-fetching easy, whether your app has tens, hundreds, or thousands of components. And thanks to Relay’s incremental co

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Relay Framework features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Relay.dev
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sparksee features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2010
    HQ Location
    Barcelona, ES
    Twitter
    @SparsityTech
    881 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Sparksee features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2010
HQ Location
Barcelona, ES
Twitter
@SparsityTech
881 Twitter followers
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ThingSpan enterprise graph and data fusion platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1988
    HQ Location
    San Jose, CA
    Twitter
    @objectivitydb
    2,575 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
ThingSpan enterprise graph and data fusion platform features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1988
HQ Location
San Jose, CA
Twitter
@objectivitydb
2,575 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vaticle is a team of people driven by a purpose: to solve the world's most complex problems, through knowledge engineering. We are the inventors of the Grakn knowledge-base and the Graql query languag

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vaticle features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    vaticle
    Year Founded
    2021
    HQ Location
    London, GB
    Twitter
    @GraknLabs
    17 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Vaticle is a team of people driven by a purpose: to solve the world's most complex problems, through knowledge engineering. We are the inventors of the Grakn knowledge-base and the Graql query languag

We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Vaticle features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
vaticle
Year Founded
2021
HQ Location
London, GB
Twitter
@GraknLabs
17 Twitter followers
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Vertex is a high performance graph database that supports automatic garbage collection, built on libevent and tokyocabinet.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertexdb features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Vertexdb
    HQ Location
    Newcastle Upon Tyne,
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Vertex is a high performance graph database that supports automatic garbage collection, built on libevent and tokyocabinet.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Vertexdb features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Vertexdb
HQ Location
Newcastle Upon Tyne,
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
0 ratings
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    xtendr facilitates secure data sharing and collaboration between teams, departments, and organisations - generating powerful insights without ever compromising on privacy.
 Using a combination of bes

    We don't have enough data from reviews to share who uses this product. Write a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • xtendr features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    xtendr
    Year Founded
    2019
    HQ Location
    Budapest, Hungary
    LinkedIn® Page
    www.linkedin.com
Product Description
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xtendr facilitates secure data sharing and collaboration between teams, departments, and organisations - generating powerful insights without ever compromising on privacy.
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Seller Details
Seller
xtendr
Year Founded
2019
HQ Location
Budapest, Hungary
LinkedIn® Page
www.linkedin.com

Learn More About Graph Databases

What are Graph Databases?

Graph databases are designed for depicting relationships (edges) between data points (nodes). Less structurally rigid than relational databases, graph databases allow nodes to have a multitude of edges; that is, there’s no limit on the number of relationships a node can have. (An example of this is in the following section.) Additionally, each edge can have multiple characteristics which define it. There is no formal limit—nor standardization—on how many edges each node can have, nor how many characteristics an edge can have. Graph databases can also contain many different pieces of information that would not necessarily be normally related.

Each node is defined by pieces of information called properties. Properties could be names, dates, identification numbers, basic descriptors, or other information—anything that would describe the node itself. Nodes are connected by edges, which can be directed or undirected. Like in mathematical graph theory, an undirected edge is bidirectional; that is, a relationship can be carried from node A to node B, and from node B to node A. A directed edge, however, only carries meaning in one direction, say from node B to node A.

Key Benefits of Graph Databases

  • Organize a variety of data without rigid structures
  • Offer flexible scaling and adjustment inherently
  • Describe numerous data relationship characteristics simultaneously

Why Use Graph Databases?

Graph databases are ideal for storing and retrieving information that is independent but related in multiple ways. For example, say a user wanted to map a group of friends. Each friend would be a node, with edges between each friend with a characteristic “friends." But, say two of those friends are coworkers; then, their edge would also have a characteristic “coworkers." Edges can get further definition by adding common interests, personal experiences, and so on.

Because graph databases are, by design, most conducive to organizing broad sets of data through which there are not uniform relationships or kinds of data, they can be invaluable tools for social mapping, master data management, knowledge graphing/ontology, infrastructure mapping, recommendation engines, and more. A business could set each node to be one of their products, and let edges draw recommendation relationships based on what product a consumer might buy. It could also map relationships between contacts, departments, and more.

Graph databases are flexible and scalable by design, so a business user would not need to know an exact or complete use case for a graph database before creating it. Expanding a graph database is a matter of adding new nodes and any potential edges which might be associated with them.

Who Uses Graph Databases?

Like other databases, graph databases are primarily maintained by a database administrator or team. That said, because of their wide range of coverage, graph databases are often accessed by several organizations within a company. Development, IT, billing, and more would all have valid reasons for needing access to graph databases, pending their assigned uses within the company.

Graph Databases Features

Graph database solutions will typically have the following features.

Database creation and maintenance — Graph databases allow users to easily build and maintain a database(s).

CRUD operations — An acronym for create, read, update, and delete, CRUD operations delineate basic operations of many databases. Graph databases should be able to perform these operations and usually can with similar capability to the most notable CRUD-oriented database type, relational.

Scalability and flexibility — Graph databases can grow and expand with business requirements. Unlike some other database solutions, they can scale more quickly with less worry about strict data organization, relying instead on developing relationships between new and existing nodes.

Simplified querying — Graph databases can skip some larger query complexities, bypassing things like foreign keys, nested queries, and join statements in favor of direct or transitive relationships.

OS compatibility — Graph databases do not require any one specific operating system to run, making them a flexible choice for any operating system.

Potential Issues with Graph Databases

Security and privacy — As alluded to above, graph databases can struggle with security and privacy situations. They require more strict implementations of security and access measures. Since graph databases are more oriented toward mapping relationships, that structure can also be utilized in ways that could raise privacy concerns, such as revealing a more laid-bare view of a client or customer—and every other potential client or customer to which they are related. Businesses implementing graph databases should take extra care to secure both how these databases are accessed, and the databases themselves.

Data integrity implications — Graph databases simplify the ways in which information relates to other information. In doing so, by shortening or condensing the relationship (as compared to, say, traversing numerous tables in a relational database), it’s particularly vital that all data in a graph database is accurate. One improperly aligned relationship can directly lead to incorrect data, unlike in a relational database where improper data might hit a snag during a nested query, throw an error, and out the issue. So, in using graph databases, data integrity is of particularly high importance.