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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
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Featured Columnar Databases At A Glance

Starburst
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Easiest to Use:
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Highest Performer:
Easiest to Use:

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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28 Listings in Columnar Databases Available
(1,165)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
    • 38% Enterprise
    • 35% 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
    244
    Speed
    160
    Scalability
    134
    Fast Querying
    133
    Integrations
    120
    Cons
    Expensive
    134
    Query Issues
    100
    Learning Curve
    78
    Cost Management
    66
    Cost Issues
    61
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    9.0
    Data Model
    Average: 8.7
    8.7
    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
    32,788,922 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    316,397 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
  • 35% 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
244
Speed
160
Scalability
134
Fast Querying
133
Integrations
120
Cons
Expensive
134
Query Issues
100
Learning Curve
78
Cost Management
66
Cost Issues
61
Google Cloud BigQuery features and usability ratings that predict user satisfaction
9.0
Data Model
Average: 8.7
8.7
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
32,788,922 Twitter followers
LinkedIn® Page
www.linkedin.com
316,397 employees on LinkedIn®
(649)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
    • 45% Enterprise
    • 43% 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
    92
    Features
    65
    Data Management
    58
    Integrations
    55
    Scalability
    53
    Cons
    Expensive
    45
    Cost
    24
    Cost Management
    21
    Learning Curve
    20
    Feature Limitations
    19
  • 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
    130 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,445 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
  • 43% 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
92
Features
65
Data Management
58
Integrations
55
Scalability
53
Cons
Expensive
45
Cost
24
Cost Management
21
Learning Curve
20
Feature Limitations
19
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
130 Twitter followers
LinkedIn® Page
www.linkedin.com
10,445 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
    6
    Speed
    6
    Fast Processing
    4
    Fast Querying
    4
    Large Datasets
    4
    Cons
    Feature Limitations
    4
    Slow Queries
    3
    Software Limitations
    3
    Complexity
    2
    Query Issues
    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: 8.5
    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
    2,234,689 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
6
Speed
6
Fast Processing
4
Fast Querying
4
Large Datasets
4
Cons
Feature Limitations
4
Slow Queries
3
Software Limitations
3
Complexity
2
Query Issues
2
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
2,234,689 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(224)4.4 out of 5
View top Consulting Services for MariaDB
Save to My Lists
  • 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
    Query Speed
    2
    Connectivity
    1
    Cost Efficiency
    1
    Database Options
    1
    Data Storage
    1
    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: 8.5
    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
    456,290 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    303 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
Query Speed
2
Connectivity
1
Cost Efficiency
1
Database Options
1
Data Storage
1
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: 8.5
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
456,290 Twitter followers
LinkedIn® Page
www.linkedin.com
303 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
    • 56% Small-Business
    • 38% 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: 8.5
    8.3
    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
    MonetDB
    Year Founded
    2013
    HQ Location
    Amsterdam, NL
    LinkedIn® Page
    www.linkedin.com
    8 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
  • 56% Small-Business
  • 38% 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: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.5
8.3
Integrated Cache
Average: 8.5
Seller Details
Seller
MonetDB
Year Founded
2013
HQ Location
Amsterdam, NL
LinkedIn® Page
www.linkedin.com
8 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
  • 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
    21,735 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,655 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
21,735 Twitter followers
LinkedIn® Page
www.linkedin.com
22,655 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(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% Small-Business
    • 47% Mid-Market
  • 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: 8.5
    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
    12,587 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    307 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% Small-Business
  • 47% Mid-Market
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: 8.5
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
12,587 Twitter followers
LinkedIn® Page
www.linkedin.com
307 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 real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and co

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Consulting
    Market Segment
    • 54% Small-Business
    • 33% Mid-Market
  • 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
    19
    Easy Integrations
    18
    Ease of Use
    17
    Integrations
    15
    Flexibility
    14
    Cons
    Poor Documentation
    6
    Poor Usability
    5
    Complexity
    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: 8.7
    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
    4,222 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The real-time database for analytics, search, and AI. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source, multi-model, distributed and co

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Consulting
Market Segment
  • 54% Small-Business
  • 33% Mid-Market
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
19
Easy Integrations
18
Ease of Use
17
Integrations
15
Flexibility
14
Cons
Poor Documentation
6
Poor Usability
5
Complexity
4
Learning Curve
4
Poor Customer Support
4
CrateDB features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
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
4,222 Twitter followers
LinkedIn® Page
www.linkedin.com
51 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: 8.5
    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
    66,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,351 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: 8.5
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
66,146 Twitter followers
LinkedIn® Page
www.linkedin.com
2,351 employees on LinkedIn®
(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
    12
    Performance
    9
    Fast Processing
    7
    Tool Power
    7
    Efficiency
    6
    Cons
    Learning Curve
    12
    Difficult Learning
    7
    Steep Learning Curve
    7
    Complexity
    3
    Debugging Issues
    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
    4,203 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
12
Performance
9
Fast Processing
7
Tool Power
7
Efficiency
6
Cons
Learning Curve
12
Difficult Learning
7
Steep Learning Curve
7
Complexity
3
Debugging Issues
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
4,203 Twitter followers
LinkedIn® Page
www.linkedin.com
571 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
    Big Data Handling
    2
    Fast Querying
    2
    Features
    2
    Serverless Architecture
    2
    Analytics
    1
    Cons
    Learning Curve
    2
    Complex Setup
    1
    Difficult Setup
    1
    Insufficient Documentation
    1
    Integration Issues
    1
  • 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: 8.5
    8.8
    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
    StarTree
    Company Website
    Year Founded
    2019
    HQ Location
    Mountain View, California
    Twitter
    @startreedata
    2,243 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120 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
Big Data Handling
2
Fast Querying
2
Features
2
Serverless Architecture
2
Analytics
1
Cons
Learning Curve
2
Complex Setup
1
Difficult Setup
1
Insufficient Documentation
1
Integration Issues
1
StarTree features and usability ratings that predict user satisfaction
8.8
Data Model
Average: 8.7
8.0
Data Types
Average: 8.5
8.8
Has the product been a good partner in doing business?
Average: 8.5
8.9
Integrated Cache
Average: 8.5
Seller Details
Seller
StarTree
Company Website
Year Founded
2019
HQ Location
Mountain View, California
Twitter
@startreedata
2,243 Twitter followers
LinkedIn® Page
www.linkedin.com
120 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: 8.5
    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
    66,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,351 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: 8.5
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
66,146 Twitter followers
LinkedIn® Page
www.linkedin.com
2,351 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: 8.5
    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
    66,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,351 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: 8.5
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
66,146 Twitter followers
LinkedIn® Page
www.linkedin.com
2,351 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
    81 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
81 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
    66,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,351 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
66,146 Twitter followers
LinkedIn® Page
www.linkedin.com
2,351 employees on LinkedIn®