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Best Enterprise Columnar Databases

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Columnar Databases category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Columnar Databases to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Columnar Databases category.

In addition to qualifying for inclusion in the Columnar Databases category, to qualify for inclusion in the Enterprise Business Columnar Databases category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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7 Listings in Enterprise Columnar Databases Available

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    G2 Score
Google Cloud BigQuery
(1,146)4.5 out of 5
2nd Easiest To Use in Columnar Databases software
View top Consulting Services for Google Cloud BigQuery
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.

    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
    32,753,487 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 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
32,753,487 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
Snowflake
(624)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Columnar Databases software
View top Consulting Services for Snowflake
Save to My Lists
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
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    70 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,985 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
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
70 Twitter followers
LinkedIn® Page
www.linkedin.com
9,985 employees on LinkedIn®

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Amazon Redshift
(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
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,411 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    146,764 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
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,411 Twitter followers
LinkedIn® Page
www.linkedin.com
146,764 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Read Amazon Redshift Reviews
OpenText Vertica
(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
    21,720 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,662 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
21,720 Twitter followers
LinkedIn® Page
www.linkedin.com
22,662 employees on LinkedIn®
Ownership
NASDAQ:OTEX
Read OpenText Vertica Reviews
KX
(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
    4,176 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    583 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
4,176 Twitter followers
LinkedIn® Page
www.linkedin.com
583 employees on LinkedIn®
Hbase
(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
    • Information Technology and Services
    • Computer Software
    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
    Seller
    The Apache Software Foundation
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,927 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,326 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
  • Information Technology and Services
  • Computer Software
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
Seller
The Apache Software Foundation
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,927 Twitter followers
LinkedIn® Page
www.linkedin.com
2,326 employees on LinkedIn®
Read Hbase Reviews
Druid
(31)4.3 out of 5
Save to My Lists
  • 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
    80 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
80 employees on LinkedIn®
Read Druid Reviews
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Clear Filter
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Market Segments
All Segments
Small Business
Mid Market
Enterprise
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Language
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7 Listings in Enterprise Columnar Databases Available

  • Sort By:
    G2 Score

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