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

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

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26 Listings in Columnar Databases Available
(1,095)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
    • 38% 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
    344
    Speed
    191
    Fast Querying
    171
    Querying
    162
    Performance
    160
    Cons
    Expensive
    153
    Query Issues
    139
    Learning Curve
    109
    Cost Issues
    86
    Cost Management
    84
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.9
    Data Model
    Average: 8.8
    8.8
    Data Types
    Average: 8.5
    8.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.7
    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
    32,581,844 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 38% 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
344
Speed
191
Fast Querying
171
Querying
162
Performance
160
Cons
Expensive
153
Query Issues
139
Learning Curve
109
Cost Issues
86
Cost Management
84
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.9
Data Model
Average: 8.8
8.8
Data Types
Average: 8.5
8.7
Has the product been a good partner in doing business?
Average: 8.5
8.7
Integrated Cache
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,581,844 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(584)4.5 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
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 40% 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
    131
    Features
    75
    Data Management
    63
    Efficiency Improvement
    61
    Database Management
    58
    Cons
    Expensive
    55
    Feature Limitations
    46
    Limited Features
    33
    Missing Features
    28
    Query Issues
    28
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.1
    Data Model
    Average: 8.8
    9.1
    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
    55,922 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,874 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
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 40% 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
131
Features
75
Data Management
63
Efficiency Improvement
61
Database Management
58
Cons
Expensive
55
Feature Limitations
46
Limited Features
33
Missing Features
28
Query Issues
28
Snowflake features and usability ratings that predict user satisfaction
9.1
Data Model
Average: 8.8
9.1
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
55,922 Twitter followers
LinkedIn® Page
www.linkedin.com
8,874 employees on LinkedIn®

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(399)4.3 out of 5
3rd Easiest To Use in Columnar Databases software
View top Consulting Services for Amazon Redshift
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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
    • 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
    17
    Fast Querying
    10
    Speed
    10
    Fast Processing
    8
    Large Datasets
    8
    Cons
    Expensive
    8
    Feature Limitations
    6
    Query Issues
    6
    Slow Queries
    5
    Performance Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Redshift features and usability ratings that predict user satisfaction
    8.4
    Data Model
    Average: 8.8
    8.4
    Data Types
    Average: 8.5
    8.7
    Has the product been a good partner in doing business?
    Average: 8.5
    8.3
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,232,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 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
  • 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
17
Fast Querying
10
Speed
10
Fast Processing
8
Large Datasets
8
Cons
Expensive
8
Feature Limitations
6
Query Issues
6
Slow Queries
5
Performance Issues
4
Amazon Redshift features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.8
8.4
Data Types
Average: 8.5
8.7
Has the product been a good partner in doing business?
Average: 8.5
8.3
Integrated Cache
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,232,026 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
By 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.

    KX is a high-performance analytics solution designed to help organizations accelerate data and AI-driven innovation, enabling them to transition into AI-first enterprises. This platform specializes in

    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
    Performance
    11
    Speed
    11
    Efficiency
    7
    Tool Power
    7
    Ease of Use
    6
    Cons
    Learning Curve
    13
    Difficult Learning
    8
    Steep Learning Curve
    8
    Complexity
    3
    Debugging Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KX features and usability ratings that predict user satisfaction
    8.9
    Data Model
    Average: 8.8
    9.7
    Data Types
    Average: 8.5
    9.5
    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
    Company Website
    Year Founded
    1996
    HQ Location
    NY, USA
    Twitter
    @kxsystems
    4,223 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    556 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

KX is a high-performance analytics solution designed to help organizations accelerate data and AI-driven innovation, enabling them to transition into AI-first enterprises. This platform specializes in

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
Performance
11
Speed
11
Efficiency
7
Tool Power
7
Ease of Use
6
Cons
Learning Curve
13
Difficult Learning
8
Steep Learning Curve
8
Complexity
3
Debugging Issues
3
KX features and usability ratings that predict user satisfaction
8.9
Data Model
Average: 8.8
9.7
Data Types
Average: 8.5
9.5
Has the product been a good partner in doing business?
Average: 8.5
9.1
Integrated Cache
Average: 8.5
Seller Details
Seller
KX
Company Website
Year Founded
1996
HQ Location
NY, USA
Twitter
@kxsystems
4,223 Twitter followers
LinkedIn® Page
www.linkedin.com
556 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
    13
    Ease of Use
    12
    Fast Processing
    12
    Performance
    11
    Features
    10
    Cons
    Expensive
    11
    Difficulty
    7
    Learning Curve
    6
    Complexity
    4
    Complex Setup
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.4
    Data Model
    Average: 8.8
    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
    21,932 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,114 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
13
Ease of Use
12
Fast Processing
12
Performance
11
Features
10
Cons
Expensive
11
Difficulty
7
Learning Curve
6
Complexity
4
Complex Setup
4
OpenText Vertica features and usability ratings that predict user satisfaction
8.4
Data Model
Average: 8.8
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
21,932 Twitter followers
LinkedIn® Page
www.linkedin.com
22,114 employees on LinkedIn®
Ownership
NASDAQ:OTEX
  • 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Parquet 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
    12
    Efficiency
    4
    Integrations
    3
    Speed
    3
    Cost Efficiency
    2
    Cons
    Performance Issues
    4
    Complexity
    2
    Learning Curve
    2
    Limited Data Support
    2
    Scalability Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Parquet features and usability ratings that predict user satisfaction
    9.0
    Data Model
    Average: 8.8
    8.8
    Data Types
    Average: 8.5
    7.5
    Has the product been a good partner in doing business?
    Average: 8.5
    8.6
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 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 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
12
Efficiency
4
Integrations
3
Speed
3
Cost Efficiency
2
Cons
Performance Issues
4
Complexity
2
Learning Curve
2
Limited Data Support
2
Scalability Issues
2
Apache Parquet features and usability ratings that predict user satisfaction
9.0
Data Model
Average: 8.8
8.8
Data Types
Average: 8.5
7.5
Has the product been a good partner in doing business?
Average: 8.5
8.6
Integrated Cache
Average: 8.5
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
  • 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
    3
    Data Storage
    3
    Ease of Use
    3
    Performance
    3
    Query Speed
    3
    Cons
    Performance Issues
    2
    Complex Setup
    1
    Difficult Setup
    1
    Feature Limitations
    1
    Inaccuracy Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MariaDB features and usability ratings that predict user satisfaction
    8.8
    Data Model
    Average: 8.8
    8.9
    Data Types
    Average: 8.5
    8.1
    Has the product been a good partner in doing business?
    Average: 8.5
    9.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MariaDB
    Year Founded
    2014
    HQ Location
    Espoo, Finland
    Twitter
    @mariadb
    460,600 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    249 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
3
Data Storage
3
Ease of Use
3
Performance
3
Query Speed
3
Cons
Performance Issues
2
Complex Setup
1
Difficult Setup
1
Feature Limitations
1
Inaccuracy Issues
1
MariaDB features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.8
8.9
Data Types
Average: 8.5
8.1
Has the product been a good partner in doing business?
Average: 8.5
9.0
Integrated Cache
Average: 8.5
Seller Details
Seller
MariaDB
Year Founded
2014
HQ Location
Espoo, Finland
Twitter
@mariadb
460,600 Twitter followers
LinkedIn® Page
www.linkedin.com
249 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
    • 57% Small-Business
    • 43% 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
    5
    Features
    3
    Speed
    3
    Data Storage
    2
    Ease of Use
    2
    Cons
    Complex Setup
    2
    Limited Features
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MonetDB features and usability ratings that predict user satisfaction
    8.7
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.5
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    8.7
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MonetDB
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
  • 57% Small-Business
  • 43% 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
5
Features
3
Speed
3
Data Storage
2
Ease of Use
2
Cons
Complex Setup
2
Limited Features
1
Poor Documentation
1
MonetDB features and usability ratings that predict user satisfaction
8.7
Data Model
Average: 8.8
8.3
Data Types
Average: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.5
8.7
Integrated Cache
Average: 8.5
Seller Details
Seller
MonetDB
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: 8.8
    8.9
    Data Types
    Average: 8.5
    10.0
    Has the product been a good partner in doing business?
    Average: 8.5
    7.7
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Palo Alto, US
    Twitter
    @ClickhouseDB
    10,037 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    227 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: 8.8
8.9
Data Types
Average: 8.5
10.0
Has the product been a good partner in doing business?
Average: 8.5
7.7
Integrated Cache
Average: 8.5
Seller Details
Year Founded
2021
HQ Location
Palo Alto, US
Twitter
@ClickhouseDB
10,037 Twitter followers
LinkedIn® Page
www.linkedin.com
227 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
    • 32% 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 to handle large data such as vector data, geo location data, time series data analytics and real time data analytics.
    • Users frequently mention the ease of integration with existing systems, the ability to handle massive datasets with impressive speed and efficiency, and the support for multi-model data, full text and vector search, and timeseries data search.
    • Reviewers experienced issues with the need for more technical expertise for integration and deployment, the need for more video tutorials and examples for beginners, and the need for improvements in Kubernetes support and documentation.
  • 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
    22
    Ease of Use
    21
    Easy Integrations
    20
    Integrations
    17
    SQL Support
    16
    Cons
    Poor Documentation
    7
    Software Limitations
    5
    Difficult Learning
    4
    Learning Curve
    4
    Poor Customer Support
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CrateDB features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.8
    9.5
    Data Types
    Average: 8.5
    9.3
    Has the product been a good partner in doing business?
    Average: 8.5
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CrateDB
    Company Website
    Year Founded
    2013
    HQ Location
    Redwood City, CA
    Twitter
    @cratedb
    4,289 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 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
  • 32% 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 to handle large data such as vector data, geo location data, time series data analytics and real time data analytics.
  • Users frequently mention the ease of integration with existing systems, the ability to handle massive datasets with impressive speed and efficiency, and the support for multi-model data, full text and vector search, and timeseries data search.
  • Reviewers experienced issues with the need for more technical expertise for integration and deployment, the need for more video tutorials and examples for beginners, and the need for improvements in Kubernetes support and documentation.
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
22
Ease of Use
21
Easy Integrations
20
Integrations
17
SQL Support
16
Cons
Poor Documentation
7
Software Limitations
5
Difficult Learning
4
Learning Curve
4
Poor Customer Support
4
CrateDB features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.8
9.5
Data Types
Average: 8.5
9.3
Has the product been a good partner in doing business?
Average: 8.5
10.0
Integrated Cache
Average: 8.5
Seller Details
Seller
CrateDB
Company Website
Year Founded
2013
HQ Location
Redwood City, CA
Twitter
@cratedb
4,289 Twitter followers
LinkedIn® Page
www.linkedin.com
62 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: 8.8
    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
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 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: 8.8
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
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 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
    • 36% Mid-Market
    • 32% Enterprise
  • 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
    Helpful
    3
    Performance
    3
    Big Data Handling
    2
    Fast Querying
    2
    Cons
    Poor Customer Support
    3
    Poor Documentation
    2
    Software Limitations
    2
    Cluster Management
    1
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • StarTree features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.8
    7.5
    Data Types
    Average: 8.5
    8.8
    Has the product been a good partner in doing business?
    Average: 8.5
    8.3
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    StarTree
    Company Website
    Year Founded
    2019
    HQ Location
    Mountain View, California
    Twitter
    @startreedata
    2,143 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    157 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
  • 36% Mid-Market
  • 32% Enterprise
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
Helpful
3
Performance
3
Big Data Handling
2
Fast Querying
2
Cons
Poor Customer Support
3
Poor Documentation
2
Software Limitations
2
Cluster Management
1
Complex Setup
1
StarTree features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.8
7.5
Data Types
Average: 8.5
8.8
Has the product been a good partner in doing business?
Average: 8.5
8.3
Integrated Cache
Average: 8.5
Seller Details
Seller
StarTree
Company Website
Year Founded
2019
HQ Location
Mountain View, California
Twitter
@startreedata
2,143 Twitter followers
LinkedIn® Page
www.linkedin.com
157 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: 8.8
    6.3
    Data Types
    Average: 8.5
    8.3
    Has the product been a good partner in doing business?
    Average: 8.5
    7.3
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 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: 8.8
6.3
Data Types
Average: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.5
7.3
Integrated Cache
Average: 8.5
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
(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: 8.8
    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
    62 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: 8.8
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
62 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
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 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
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®