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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.

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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7 Listings in Enterprise Columnar Databases Available

(1,201)4.5 out of 5
1st 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
    • 36% 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
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    9.1
    Data Model
    Average: 8.7
    8.8
    Data Types
    Average: 8.5
    8.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.5
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,508,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 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
  • 36% 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
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
9.1
Data Model
Average: 8.7
8.8
Data Types
Average: 8.5
8.7
Has the product been a good partner in doing business?
Average: 8.5
8.5
Integrated Cache
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,508,752 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(666)4.6 out of 5
Optimized for quick response
2nd 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
    • 45% 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
    84
    Features
    64
    Data Management
    61
    Integrations
    57
    Scalability
    54
    Cons
    Expensive
    46
    Cost
    26
    Cost Management
    23
    Learning Curve
    22
    Feature Limitations
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.7
    9.2
    Data Types
    Average: 8.5
    9.0
    Has the product been a good partner in doing business?
    Average: 8.5
    9.2
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    159 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 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
  • 45% 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
84
Features
64
Data Management
61
Integrations
57
Scalability
54
Cons
Expensive
46
Cost
26
Cost Management
23
Learning Curve
22
Feature Limitations
20
Snowflake features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
9.2
Data Types
Average: 8.5
9.0
Has the product been a good partner in doing business?
Average: 8.5
9.2
Integrated Cache
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
159 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®

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(397)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
    • 40% Enterprise
    • 38% 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
    7
    Integrations
    6
    Speed
    6
    Fast Querying
    5
    Large Datasets
    5
    Cons
    Complexity
    5
    Feature Limitations
    5
    Software Limitations
    5
    Query Issues
    4
    Query Optimization
    4
  • 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: 8.5
    8.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.2
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,637 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 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
  • 40% Enterprise
  • 38% 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
7
Integrations
6
Speed
6
Fast Querying
5
Large Datasets
5
Cons
Complexity
5
Feature Limitations
5
Software Limitations
5
Query Issues
4
Query Optimization
4
Amazon Redshift features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.7
8.4
Data Types
Average: 8.5
8.7
Has the product been a good partner in doing business?
Average: 8.5
8.2
Integrated Cache
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,637 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(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
  • 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: 8.5
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    8.5
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,629 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,200 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 features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.7
8.0
Data Types
Average: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.5
8.5
Integrated Cache
Average: 8.5
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,629 Twitter followers
LinkedIn® Page
www.linkedin.com
23,200 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(51)4.6 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
    • Banking
    Market Segment
    • 57% Enterprise
    • 25% 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
    12
    Difficult Learning
    7
    Steep Learning Curve
    7
    Complexity
    2
    Expensive
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KX features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.7
    9.5
    Data Types
    Average: 8.5
    9.0
    Has the product been a good partner in doing business?
    Average: 8.5
    9.1
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    KX
    Year Founded
    1996
    HQ Location
    NY, USA
    Twitter
    @kxsystems
    4,210 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    571 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
  • Banking
Market Segment
  • 57% Enterprise
  • 25% 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
12
Difficult Learning
7
Steep Learning Curve
7
Complexity
2
Expensive
2
KX features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
9.5
Data Types
Average: 8.5
9.0
Has the product been a good partner in doing business?
Average: 8.5
9.1
Integrated Cache
Average: 8.5
Seller Details
Seller
KX
Year Founded
1996
HQ Location
NY, USA
Twitter
@kxsystems
4,210 Twitter followers
LinkedIn® Page
www.linkedin.com
571 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
    • 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: 8.5
    8.0
    Has the product been a good partner in doing business?
    Average: 8.5
    7.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,765 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 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: 8.5
8.0
Has the product been a good partner in doing business?
Average: 8.5
7.0
Integrated Cache
Average: 8.5
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,765 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 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: 8.5
    7.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.9
    Integrated Cache
    Average: 8.5
  • 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: 8.5
7.7
Has the product been a good partner in doing business?
Average: 8.5
8.9
Integrated Cache
Average: 8.5
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®