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Best Columnar Databases

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Columnar databases store data by columns rather than by rows. The data storage format in these solutions makes them faster and more efficient for instant analytical queries. These databases are used mainly in data warehouses to handle and process massive volumes of data from multiple sources by serving as a basis for business intelligence tools. These databases support document creation, retrieval via query, updating and editing, and deletion of information. Columnar stores, because of their data storage format, help minimize resource usage related to queries on big data sets. Businesses interested in implementing a database for data warehousing and big data processing may opt for a columnar database.

There are other database types similar but slightly different than columnar databases software including object-oriented databases software, graph databases, key-value databases, and more.

To qualify for inclusion in the Columnar Databases category, a product must:

Provide data storage
Store data in columnar format
Allow users to retrieve data

Best Columnar Databases At A Glance

Highest Performer:
Easiest to Use:
Best Free Software:
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Easiest to Use:
Best Free Software:

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.

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27 Listings in Columnar Databases Available
(1,146)4.5 out of 5
2nd Easiest To Use in Columnar Databases software
View top Consulting Services for Google Cloud BigQuery
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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.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery 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
    282
    Speed
    160
    Fast Querying
    156
    Querying
    146
    Scalability
    137
    Cons
    Expensive
    137
    Query Issues
    122
    Learning Curve
    83
    Cost Management
    76
    Cost Issues
    72
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.7
    8.5
    Data Types
    Average: 8.6
    8.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.5
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,750,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,061 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 32% Mid-Market
Google Cloud BigQuery 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
282
Speed
160
Fast Querying
156
Querying
146
Scalability
137
Cons
Expensive
137
Query Issues
122
Learning Curve
83
Cost Management
76
Cost Issues
72
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
8.5
Data Types
Average: 8.6
8.7
Has the product been a good partner in doing business?
Average: 8.5
8.5
Integrated Cache
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,750,646 Twitter followers
LinkedIn® Page
www.linkedin.com
310,061 employees on LinkedIn®
(624)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Columnar Databases software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    85
    Features
    53
    Scalability
    46
    Data Management
    42
    Integrations
    41
    Cons
    Expensive
    42
    Feature Limitations
    21
    Cost Management
    20
    Cost
    19
    Poor UI Design
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.7
    9.1
    Data Types
    Average: 8.6
    9.0
    Has the product been a good partner in doing business?
    Average: 8.5
    9.2
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,352 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 42% Mid-Market
Snowflake 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
85
Features
53
Scalability
46
Data Management
42
Integrations
41
Cons
Expensive
42
Feature Limitations
21
Cost Management
20
Cost
19
Poor UI Design
18
Snowflake features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
9.1
Data Types
Average: 8.6
9.0
Has the product been a good partner in doing business?
Average: 8.5
9.2
Integrated Cache
Average: 8.6
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
65 Twitter followers
LinkedIn® Page
www.linkedin.com
9,352 employees on LinkedIn®

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(402)4.3 out of 5
3rd Easiest To Use in Columnar Databases software
View top Consulting Services for Amazon Redshift
Save to My Lists
Entry Level Price:$1.22 - $3.26 Per hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Redshift 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
    10
    Fast Querying
    7
    Large Datasets
    7
    Speed
    7
    Fast Processing
    6
    Cons
    Slow Queries
    5
    Feature Limitations
    4
    Query Issues
    3
    Complexity
    2
    Data Migration
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Redshift features and usability ratings that predict user satisfaction
    8.4
    Data Model
    Average: 8.7
    8.4
    Data Types
    Average: 8.6
    8.8
    Has the product been a good partner in doing business?
    Average: 8.5
    8.3
    Integrated Cache
    Average: 8.6
  • 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.

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 37% Mid-Market
Amazon Redshift 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
10
Fast Querying
7
Large Datasets
7
Speed
7
Fast Processing
6
Cons
Slow Queries
5
Feature Limitations
4
Query Issues
3
Complexity
2
Data Migration
2
Amazon Redshift features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.7
8.4
Data Types
Average: 8.6
8.8
Has the product been a good partner in doing business?
Average: 8.5
8.3
Integrated Cache
Average: 8.6
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
(49)4.7 out of 5
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.

    We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transforma

    Users
    No information available
    Industries
    • Financial Services
    • Capital Markets
    Market Segment
    • 57% Enterprise
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • KX 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
    11
    Performance
    9
    Tool Power
    7
    Efficiency
    6
    Fast Processing
    6
    Cons
    Learning Curve
    11
    Steep Learning Curve
    6
    Difficult Learning
    5
    Complexity
    2
    Debugging Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KX features and usability ratings that predict user satisfaction
    8.9
    Data Model
    Average: 8.7
    9.7
    Data Types
    Average: 8.6
    9.5
    Has the product been a good partner in doing business?
    Average: 8.5
    9.1
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    KX
    Company Website
    Year Founded
    1996
    HQ Location
    NY, USA
    Twitter
    @kxsystems
    4,174 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    568 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We power the time-aware data-driven decisions that enable fast-moving organizations to realize the full potential of their AI investments and outpace competitors. Our technology delivers transforma

Users
No information available
Industries
  • Financial Services
  • Capital Markets
Market Segment
  • 57% Enterprise
  • 24% Small-Business
KX 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
11
Performance
9
Tool Power
7
Efficiency
6
Fast Processing
6
Cons
Learning Curve
11
Steep Learning Curve
6
Difficult Learning
5
Complexity
2
Debugging Issues
2
KX features and usability ratings that predict user satisfaction
8.9
Data Model
Average: 8.7
9.7
Data Types
Average: 8.6
9.5
Has the product been a good partner in doing business?
Average: 8.5
9.1
Integrated Cache
Average: 8.6
Seller Details
Seller
KX
Company Website
Year Founded
1996
HQ Location
NY, USA
Twitter
@kxsystems
4,174 Twitter followers
LinkedIn® Page
www.linkedin.com
568 employees on LinkedIn®
(216)4.3 out of 5
4th Easiest To Use in Columnar 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.

    Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

    Users
    • Senior Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenText Vertica 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
    Analytics
    12
    Fast Processing
    12
    Ease of Use
    11
    Performance
    11
    Large Datasets
    10
    Cons
    Expensive
    10
    Learning Curve
    6
    Difficulty
    5
    Complexity
    4
    High Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.4
    Data Model
    Average: 8.7
    8.0
    Data Types
    Average: 8.6
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    8.5
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,716 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,403 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica 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
Analytics
12
Fast Processing
12
Ease of Use
11
Performance
11
Large Datasets
10
Cons
Expensive
10
Learning Curve
6
Difficulty
5
Complexity
4
High Complexity
4
OpenText Vertica features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.7
8.0
Data Types
Average: 8.6
8.3
Has the product been a good partner in doing business?
Average: 8.5
8.5
Integrated Cache
Average: 8.6
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,716 Twitter followers
LinkedIn® Page
www.linkedin.com
22,403 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(223)4.4 out of 5
View top Consulting Services for MariaDB
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing application

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 43% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MariaDB 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
    Connectivity
    2
    Fast Querying
    2
    Performance
    2
    Query Speed
    2
    Speed
    2
    Cons
    Complex Setup
    1
    Connectivity Issues
    1
    Difficult Setup
    1
    Error Handling
    1
    Inadequate Security
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MariaDB features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.7
    8.9
    Data Types
    Average: 8.6
    8.1
    Has the product been a good partner in doing business?
    Average: 8.5
    9.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MariaDB
    Year Founded
    2014
    HQ Location
    Espoo, Finland
    Twitter
    @mariadb
    458,004 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    258 employees on LinkedIn®
    Ownership
    NYSE: MRDB
Product Description
How are these determined?Information
This description is provided by the seller.

MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, customer-facing application

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 43% Small-Business
  • 33% Mid-Market
MariaDB 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
Connectivity
2
Fast Querying
2
Performance
2
Query Speed
2
Speed
2
Cons
Complex Setup
1
Connectivity Issues
1
Difficult Setup
1
Error Handling
1
Inadequate Security
1
MariaDB features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
8.9
Data Types
Average: 8.6
8.1
Has the product been a good partner in doing business?
Average: 8.5
9.0
Integrated Cache
Average: 8.6
Seller Details
Seller
MariaDB
Year Founded
2014
HQ Location
Espoo, Finland
Twitter
@mariadb
458,004 Twitter followers
LinkedIn® Page
www.linkedin.com
258 employees on LinkedIn®
Ownership
NYSE: MRDB
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    An Open-Source Database System

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 53% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MonetDB 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
    Fast Querying
    8
    Features
    5
    Speed
    5
    Performance
    4
    Usability
    3
    Cons
    Complex Setup
    2
    Connectivity Issues
    1
    Limited Customization
    1
    Limited Features
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MonetDB features and usability ratings that predict user satisfaction
    8.6
    Data Model
    Average: 8.7
    8.6
    Data Types
    Average: 8.6
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    8.3
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MonetDB
    Year Founded
    2013
    HQ Location
    Amsterdam, NL
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

An Open-Source Database System

Users
No information available
Industries
  • Computer Software
Market Segment
  • 53% Small-Business
  • 40% Mid-Market
MonetDB 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
Fast Querying
8
Features
5
Speed
5
Performance
4
Usability
3
Cons
Complex Setup
2
Connectivity Issues
1
Limited Customization
1
Limited Features
1
Poor Documentation
1
MonetDB features and usability ratings that predict user satisfaction
8.6
Data Model
Average: 8.7
8.6
Data Types
Average: 8.6
8.3
Has the product been a good partner in doing business?
Average: 8.5
8.3
Integrated Cache
Average: 8.6
Seller Details
Seller
MonetDB
Year Founded
2013
HQ Location
Amsterdam, NL
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Mid-Market
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Parquet features and usability ratings that predict user satisfaction
    9.0
    Data Model
    Average: 8.7
    8.8
    Data Types
    Average: 8.6
    7.5
    Has the product been a good partner in doing business?
    Average: 8.5
    8.6
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Mid-Market
  • 30% Small-Business
Apache Parquet features and usability ratings that predict user satisfaction
9.0
Data Model
Average: 8.7
8.8
Data Types
Average: 8.6
7.5
Has the product been a good partner in doing business?
Average: 8.5
8.6
Integrated Cache
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
(19)4.3 out of 5
View top Consulting Services for ClickHouse
Save to My Lists
Entry Level Price:Starting at $1.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-f

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ClickHouse 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
    1
    Easy Integrations
    1
    Fast Querying
    1
    Integrations
    1
    Query Efficiency
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ClickHouse features and usability ratings that predict user satisfaction
    9.0
    Data Model
    Average: 8.7
    8.9
    Data Types
    Average: 8.6
    10.0
    Has the product been a good partner in doing business?
    Average: 8.5
    7.7
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Palo Alto, US
    Twitter
    @ClickhouseDB
    11,018 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    279 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ClickHouse is the fastest and most resource efficient real-time database and data warehouse. ClickHouse is optimized to serve a wide range of data-intensive workloads, from powering interactive user-f

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Small-Business
ClickHouse 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
1
Easy Integrations
1
Fast Querying
1
Integrations
1
Query Efficiency
1
Cons
This product has not yet received any negative sentiments.
ClickHouse features and usability ratings that predict user satisfaction
9.0
Data Model
Average: 8.7
8.9
Data Types
Average: 8.6
10.0
Has the product been a good partner in doing business?
Average: 8.5
7.7
Integrated Cache
Average: 8.6
Seller Details
Year Founded
2021
HQ Location
Palo Alto, US
Twitter
@ClickhouseDB
11,018 Twitter followers
LinkedIn® Page
www.linkedin.com
279 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distrib

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Consulting
    Market Segment
    • 54% Small-Business
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • CrateDB is a NoSQL database designed for handling large data such as vector data, geo location data, time series data analytics and real time data analytics.
    • Users like the product's ability to manage a large volume of data, its support for multi-model data, full text and vector search, and timeseries data search, and its excellent customer service and onboarding.
    • Reviewers noted that the product requires technical expertise for integration and deployment, its documentation needs improvement, and its Kubernetes support needs to be enhanced.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CrateDB 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
    Scalability
    23
    Ease of Use
    21
    Easy Integrations
    21
    Integrations
    18
    Large Datasets
    16
    Cons
    Poor Documentation
    7
    Learning Curve
    5
    Poor Usability
    5
    Software Limitations
    5
    Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CrateDB features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.7
    9.5
    Data Types
    Average: 8.6
    9.3
    Has the product been a good partner in doing business?
    Average: 8.5
    10.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CrateDB
    Company Website
    Year Founded
    2013
    HQ Location
    Redwood City, CA
    Twitter
    @cratedb
    4,234 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distrib

Users
  • Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Consulting
Market Segment
  • 54% Small-Business
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • CrateDB is a NoSQL database designed for handling large data such as vector data, geo location data, time series data analytics and real time data analytics.
  • Users like the product's ability to manage a large volume of data, its support for multi-model data, full text and vector search, and timeseries data search, and its excellent customer service and onboarding.
  • Reviewers noted that the product requires technical expertise for integration and deployment, its documentation needs improvement, and its Kubernetes support needs to be enhanced.
CrateDB 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
Scalability
23
Ease of Use
21
Easy Integrations
21
Integrations
18
Large Datasets
16
Cons
Poor Documentation
7
Learning Curve
5
Poor Usability
5
Software Limitations
5
Complexity
4
CrateDB features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
9.5
Data Types
Average: 8.6
9.3
Has the product been a good partner in doing business?
Average: 8.5
10.0
Integrated Cache
Average: 8.6
Seller Details
Seller
CrateDB
Company Website
Year Founded
2013
HQ Location
Redwood City, CA
Twitter
@cratedb
4,234 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 35% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • StarTree 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
    7
    Performance
    4
    Fast Querying
    3
    Helpful
    3
    Big Data Handling
    2
    Cons
    Poor Customer Support
    3
    Learning Curve
    2
    Performance Issues
    2
    Poor Documentation
    2
    Software Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • StarTree features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.7
    8.0
    Data Types
    Average: 8.6
    8.8
    Has the product been a good partner in doing business?
    Average: 8.5
    8.9
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    StarTree
    Company Website
    Year Founded
    2019
    HQ Location
    Mountain View, California
    Twitter
    @startreedata
    2,189 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    165 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

StarTree Cloud is a fully-managed user-facing real-time analytics Database-as-a-Service (DBaaS) designed for OLAP at massive speed and scale. Based on Apache Pinot™, StarTree Cloud provides enterprise

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 35% Mid-Market
  • 35% Small-Business
StarTree 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
7
Performance
4
Fast Querying
3
Helpful
3
Big Data Handling
2
Cons
Poor Customer Support
3
Learning Curve
2
Performance Issues
2
Poor Documentation
2
Software Limitations
2
StarTree features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
8.0
Data Types
Average: 8.6
8.8
Has the product been a good partner in doing business?
Average: 8.5
8.9
Integrated Cache
Average: 8.6
Seller Details
Seller
StarTree
Company Website
Year Founded
2019
HQ Location
Mountain View, California
Twitter
@startreedata
2,189 Twitter followers
LinkedIn® Page
www.linkedin.com
165 employees on LinkedIn®
(114)4.2 out of 5
5th Easiest To Use in Columnar Databases software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.

    Users
    • Software Engineer
    • Big Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hbase features and usability ratings that predict user satisfaction
    8.1
    Data Model
    Average: 8.7
    7.2
    Data Types
    Average: 8.6
    8.0
    Has the product been a good partner in doing business?
    Average: 8.5
    7.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.

Users
  • Software Engineer
  • Big Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 27% Mid-Market
Hbase features and usability ratings that predict user satisfaction
8.1
Data Model
Average: 8.7
7.2
Data Types
Average: 8.6
8.0
Has the product been a good partner in doing business?
Average: 8.5
7.0
Integrated Cache
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Enterprise
    • 46% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Kudu features and usability ratings that predict user satisfaction
    8.7
    Data Model
    Average: 8.7
    6.3
    Data Types
    Average: 8.6
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    7.3
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Kudu is a free and open source column-oriented data store of the Apache Hadoop ecosystem.

Users
No information available
Industries
No information available
Market Segment
  • 54% Enterprise
  • 46% Mid-Market
Apache Kudu features and usability ratings that predict user satisfaction
8.7
Data Model
Average: 8.7
6.3
Data Types
Average: 8.6
8.3
Has the product been a good partner in doing business?
Average: 8.5
7.3
Integrated Cache
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics soluti

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 52% Enterprise
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Druid features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.7
    7.8
    Data Types
    Average: 8.6
    7.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.9
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Druid
    Year Founded
    1998
    HQ Location
    Rio de Janeiro, Rio de Janeiro
    Twitter
    @druid
    4 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    79 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Druid is an open source real-time analytics database. Druid combines ideas from OLAP/analytic databases, timeseries databases, and search systems to create a complete real-time analytics soluti

Users
No information available
Industries
  • Computer Software
Market Segment
  • 52% Enterprise
  • 29% Mid-Market
Druid features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
7.8
Data Types
Average: 8.6
7.7
Has the product been a good partner in doing business?
Average: 8.5
8.9
Integrated Cache
Average: 8.6
Seller Details
Seller
Druid
Year Founded
1998
HQ Location
Rio de Janeiro, Rio de Janeiro
Twitter
@druid
4 Twitter followers
LinkedIn® Page
www.linkedin.com
79 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache ORC features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.0
    Has the product been a good partner in doing business?
    Average: 8.5
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,298 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache ORC is a self-describing type-aware columnar file format for Hadoop workloads.

Users
No information available
Industries
No information available
Market Segment
  • 45% Enterprise
  • 36% Mid-Market
Apache ORC features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.0
Has the product been a good partner in doing business?
Average: 8.5
0.0
No information available
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,298 employees on LinkedIn®
(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
    8.9
    Data Model
    Average: 8.7
    9.2
    Data Types
    Average: 8.6
    9.4
    Has the product been a good partner in doing business?
    Average: 8.5
    9.2
    Integrated Cache
    Average: 8.6
  • 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
8.9
Data Model
Average: 8.7
9.2
Data Types
Average: 8.6
9.4
Has the product been a good partner in doing business?
Average: 8.5
9.2
Integrated Cache
Average: 8.6
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.

    Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 28% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Table Storage 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
    3
    Cost Efficiency
    2
    Efficiency
    1
    Features
    1
    Integrations
    1
    Cons
    Scalability Issues
    1
    SQL Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Table Storage features and usability ratings that predict user satisfaction
    9.4
    Data Model
    Average: 8.7
    9.4
    Data Types
    Average: 8.6
    8.9
    Has the product been a good partner in doing business?
    Average: 8.5
    10.0
    Integrated Cache
    Average: 8.6
  • 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 Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 28% Enterprise
Azure Table Storage 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
3
Cost Efficiency
2
Efficiency
1
Features
1
Integrations
1
Cons
Scalability Issues
1
SQL Limitations
1
Azure Table Storage features and usability ratings that predict user satisfaction
9.4
Data Model
Average: 8.7
9.4
Data Types
Average: 8.6
8.9
Has the product been a good partner in doing business?
Average: 8.5
10.0
Integrated Cache
Average: 8.6
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.

    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
    6.7
    Data Model
    Average: 8.7
    6.7
    Data Types
    Average: 8.6
    8.8
    Has the product been a good partner in doing business?
    Average: 8.5
    5.0
    Integrated Cache
    Average: 8.6
  • 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
6.7
Data Model
Average: 8.7
6.7
Data Types
Average: 8.6
8.8
Has the product been a good partner in doing business?
Average: 8.5
5.0
Integrated Cache
Average: 8.6
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
(68)4.6 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.

    Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 19% Mid-Market
    • 13% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigTable 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
    Scalability
    3
    Low Latency
    2
    Scaling
    2
    Cost-Effective
    1
    Customer Support
    1
    Cons
    Expensive
    3
    Billing Issues
    1
    Complex Pricing
    1
    Complex Setup
    1
    Complex Usage
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigTable features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.6
    8.5
    Has the product been a good partner in doing business?
    Average: 8.5
    10.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,750,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,061 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle

Users
No information available
Industries
No information available
Market Segment
  • 19% Mid-Market
  • 13% Enterprise
Google Cloud BigTable 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
Scalability
3
Low Latency
2
Scaling
2
Cost-Effective
1
Customer Support
1
Cons
Expensive
3
Billing Issues
1
Complex Pricing
1
Complex Setup
1
Complex Usage
1
Google Cloud BigTable features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
10.0
Data Types
Average: 8.6
8.5
Has the product been a good partner in doing business?
Average: 8.5
10.0
Integrated Cache
Average: 8.6
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,750,646 Twitter followers
LinkedIn® Page
www.linkedin.com
310,061 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 85% Small-Business
    • 15% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Tembo is a software that allows users to manage their savings goals and Postgres databases using Mobile Money and Visa/Mastercard cards.
    • Users like the ease of use and implementation of Tembo, its intuitive user interface, the ability to organize tasks and deadlines in one place, and its support for team collaboration and variety of extensions and stacks.
    • Users experienced issues with Tembo's limited cloud provider options, specifically its restriction to AWS, laggy user interface on Safari, and the need for basic knowledge to utilize the platform, along with occasional difficulties in understanding the cost per month and connecting to the database.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tembo 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
    21
    Features
    14
    Data Storage
    10
    Integrations
    10
    Ease of Setup
    9
    Cons
    AWS Dependency
    5
    Expensive
    4
    Integration Issues
    4
    Limited Customization
    4
    Limited Flexibility
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tembo features and usability ratings that predict user satisfaction
    8.9
    Data Model
    Average: 8.7
    9.4
    Data Types
    Average: 8.6
    10.0
    Has the product been a good partner in doing business?
    Average: 8.5
    8.9
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tembo
    Year Founded
    2022
    HQ Location
    Cincinnati, US
    Twitter
    @tembo_io
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

Users
No information available
Industries
  • Computer Software
Market Segment
  • 85% Small-Business
  • 15% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Tembo is a software that allows users to manage their savings goals and Postgres databases using Mobile Money and Visa/Mastercard cards.
  • Users like the ease of use and implementation of Tembo, its intuitive user interface, the ability to organize tasks and deadlines in one place, and its support for team collaboration and variety of extensions and stacks.
  • Users experienced issues with Tembo's limited cloud provider options, specifically its restriction to AWS, laggy user interface on Safari, and the need for basic knowledge to utilize the platform, along with occasional difficulties in understanding the cost per month and connecting to the database.
Tembo 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
21
Features
14
Data Storage
10
Integrations
10
Ease of Setup
9
Cons
AWS Dependency
5
Expensive
4
Integration Issues
4
Limited Customization
4
Limited Flexibility
4
Tembo features and usability ratings that predict user satisfaction
8.9
Data Model
Average: 8.7
9.4
Data Types
Average: 8.6
10.0
Has the product been a good partner in doing business?
Average: 8.5
8.9
Integrated Cache
Average: 8.6
Seller Details
Seller
Tembo
Year Founded
2022
HQ Location
Cincinnati, US
Twitter
@tembo_io
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hypertable features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.6
    0.0
    No information available
    10.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
Product Description
How are these determined?Information
This description is provided by the seller.

Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Hypertable features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.7
10.0
Data Types
Average: 8.6
0.0
No information available
10.0
Integrated Cache
Average: 8.6
Seller Details
LinkedIn® Page
www.linkedin.com
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kinetica 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
    Analytics Power
    2
    Data Analysis
    2
    Efficiency
    2
    Insights
    2
    Real-Time Data
    2
    Cons
    Expensive
    2
    Pricing Issues
    2
    Complexity
    1
    Complex Usage
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kinetica features and usability ratings that predict user satisfaction
    10.0
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.6
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    10.0
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kinetica
    Year Founded
    2009
    HQ Location
    San Francisco, CA
    Twitter
    @KineticaHQ
    3,533 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Kinetica 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
Analytics Power
2
Data Analysis
2
Efficiency
2
Insights
2
Real-Time Data
2
Cons
Expensive
2
Pricing Issues
2
Complexity
1
Complex Usage
1
Cost
1
Kinetica features and usability ratings that predict user satisfaction
10.0
Data Model
Average: 8.7
10.0
Data Types
Average: 8.6
8.3
Has the product been a good partner in doing business?
Average: 8.5
10.0
Integrated Cache
Average: 8.6
Seller Details
Seller
Kinetica
Year Founded
2009
HQ Location
San Francisco, CA
Twitter
@KineticaHQ
3,533 Twitter followers
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases built for structured tabul

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TileDB 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
    Database Management
    2
    Data Handling
    2
    Data Management
    2
    Data Storage
    2
    Ease of Use
    2
    Cons
    Learning Curve
    2
    Poor Documentation
    2
    UX Improvement
    2
    Difficult Learning
    1
    Installation Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TileDB features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.7
    6.7
    Data Types
    Average: 8.6
    0.0
    No information available
    6.7
    Integrated Cache
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TileDB
    Year Founded
    2017
    HQ Location
    Cambridge, Massachusetts, United States
    LinkedIn® Page
    www.linkedin.com
    89 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases built for structured tabul

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
TileDB 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
Database Management
2
Data Handling
2
Data Management
2
Data Storage
2
Ease of Use
2
Cons
Learning Curve
2
Poor Documentation
2
UX Improvement
2
Difficult Learning
1
Installation Difficulty
1
TileDB features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.7
6.7
Data Types
Average: 8.6
0.0
No information available
6.7
Integrated Cache
Average: 8.6
Seller Details
Seller
TileDB
Year Founded
2017
HQ Location
Cambridge, Massachusetts, United States
LinkedIn® Page
www.linkedin.com
89 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The industry’s most powerful real-time analytics platform. Delivering performance three times greater than the next leading solution, CelerData Enterprise lets you provide blazing-fast real-time insig

    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
  • CelerData Enterprise 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
    CelerData
    LinkedIn® Page
    www.linkedin.com
Product Description
How are these determined?Information
This description is provided by the seller.

The industry’s most powerful real-time analytics platform. Delivering performance three times greater than the next leading solution, CelerData Enterprise lets you provide blazing-fast real-time insig

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
CelerData Enterprise 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
CelerData
LinkedIn® Page
www.linkedin.com
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Infinidb enables to deploy massively scalable high-performance analytics applications in Amazon Web Services (AWS) with dynamic provisioning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infinidb features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Infinidb
    HQ Location
    Frisco, TX
    Twitter
    @InfiniDB
    641 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.

Infinidb enables to deploy massively scalable high-performance analytics applications in Amazon Web Services (AWS) with dynamic provisioning.

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Infinidb features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.3
Has the product been a good partner in doing business?
Average: 8.5
0.0
No information available
Seller Details
Seller
Infinidb
HQ Location
Frisco, TX
Twitter
@InfiniDB
641 Twitter followers
LinkedIn® Page
www.linkedin.com
1 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
  • qikkDB | GPU accelerated columnar 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
    LinkedIn® Page
    www.linkedin.com
    1 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
qikkDB | GPU accelerated columnar 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
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.

    Cloud-native PostgreSQL for time-series, events and analytics. Timescale gives modern engineering teams the cloud-native data infrastructure they need to power data-centric products that delight th

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 76% Small-Business
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Timescale 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
    Easy Setup
    3
    Setup Ease
    3
    Cloud Services
    2
    Customer Support
    2
    Cons
    Expensive
    2
    Expensive Licensing
    2
    Missing Features
    2
    Expensive Queries
    1
    Poor UI
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Timescale features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    9.6
    Has the product been a good partner in doing business?
    Average: 8.5
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Timescale
    Company Website
    Year Founded
    2015
    HQ Location
    New York, New York
    Twitter
    @TimescaleDB
    8,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    179 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native PostgreSQL for time-series, events and analytics. Timescale gives modern engineering teams the cloud-native data infrastructure they need to power data-centric products that delight th

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 76% Small-Business
  • 21% Mid-Market
Timescale 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
Easy Setup
3
Setup Ease
3
Cloud Services
2
Customer Support
2
Cons
Expensive
2
Expensive Licensing
2
Missing Features
2
Expensive Queries
1
Poor UI
1
Timescale features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
9.6
Has the product been a good partner in doing business?
Average: 8.5
0.0
No information available
Seller Details
Seller
Timescale
Company Website
Year Founded
2015
HQ Location
New York, New York
Twitter
@TimescaleDB
8,752 Twitter followers
LinkedIn® Page
www.linkedin.com
179 employees on LinkedIn®