Introducing G2.ai, the future of software buying.Try now

Best Wide Column Database Software

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Wide column databases are NoSQL databases that store data in tables, rows, and columns. The name and column formats can vary from one row to another. Wide column databases are generally interpreted as 2D key-value or key key-value stores. Wide column databases are also known as column family databases. These databases are used for transactional workflows. Wide column databases can be used in cases with large datasets distributed across multiple database nodes. Given big data volumes in IoT, data scientists usually use wide column databases to store IoT and user profile data. It is also used to manage big data warehouses because of its ability to scale.

Wide column databases help horizontal scalability of data and provide data consistency. Data is stored in column cells which are grouped into column families. Wide column databases can filter data by value. Wide column databases differ from columnar databases with respect to storage of data. Columnar databases store each column separately on a disk, whereas wide column databases support column families stored together. Wide column databases also differ from relational databases. Relational databases have multiple tables whereas wide column databases have multiple column families.

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

Contain 2D key-value or key key-value
Have clustering for distributed database
Provide time to live (TTL) management
Support a variety of data types like String, Boolean, Integer, and Double
Provide a three dimensional structure (row, column, and time)
Show More
Show Less

Best Wide Column Database Software At A Glance

Leader:
Easiest to Use:
Best Free Software:
Show LessShow More
Best Free Software:

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

Coming Soon
Get Trending Wide Column Database Products in Your Inbox

A weekly snapshot of rising stars, new launches, and what everyone's buzzing about.

Sample Trending Products Newsletter
No filters applied
16 Listings in Wide Column Database Available
(356)4.5 out of 5
Optimized for quick response
1st Easiest To Use in Wide Column Database software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures--eliminating b

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ScyllaDB 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
    74
    Scalability
    67
    Low Latency
    49
    Speed
    47
    Customer Support
    26
    Cons
    Learning Curve
    34
    Expensive
    20
    Limited Features
    20
    Poor Documentation
    18
    Complexity
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ScyllaDB features and usability ratings that predict user satisfaction
    8.2
    Ease of Admin
    Average: 7.6
    8.3
    Ease of Setup
    Average: 8.2
    8.7
    Has the product been a good partner in doing business?
    Average: 8.3
    8.6
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ScyllaDB
    Company Website
    Year Founded
    2013
    HQ Location
    Palo Alto, US
    Twitter
    @ScyllaDB
    29,690 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    243 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures--eliminating b

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Small-Business
  • 29% Mid-Market
ScyllaDB 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
74
Scalability
67
Low Latency
49
Speed
47
Customer Support
26
Cons
Learning Curve
34
Expensive
20
Limited Features
20
Poor Documentation
18
Complexity
17
ScyllaDB features and usability ratings that predict user satisfaction
8.2
Ease of Admin
Average: 7.6
8.3
Ease of Setup
Average: 8.2
8.7
Has the product been a good partner in doing business?
Average: 8.3
8.6
Ease of Use
Average: 7.9
Seller Details
Seller
ScyllaDB
Company Website
Year Founded
2013
HQ Location
Palo Alto, US
Twitter
@ScyllaDB
29,690 Twitter followers
LinkedIn® Page
www.linkedin.com
243 employees on LinkedIn®
(13)4.3 out of 5
View top Consulting Services for Microsoft Azure Cosmos DB
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Enterprise
    • 23% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.8
    Ease of Admin
    Average: 7.6
    9.0
    Ease of Setup
    Average: 8.2
    9.2
    Has the product been a good partner in doing business?
    Average: 8.3
    8.9
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Cosmos DB is a fully managed NoSQL database service for modern app development. Get guaranteed single-digit millisecond response times and 99.999-percent availability, backed by SLAs, automatic

Users
No information available
Industries
No information available
Market Segment
  • 54% Enterprise
  • 23% Mid-Market
Microsoft Azure Cosmos DB features and usability ratings that predict user satisfaction
8.8
Ease of Admin
Average: 7.6
9.0
Ease of Setup
Average: 8.2
9.2
Has the product been a good partner in doing business?
Average: 8.3
8.9
Ease of Use
Average: 7.9
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(41)4.4 out of 5
View top Consulting Services for Google Cloud BigTable
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Mid-Market
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigTable Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Storage
    8
    Integrations
    5
    Ease of Use
    4
    Features
    4
    Application Development
    3
    Cons
    Expensive
    6
    Cost Issues
    5
    Billing Issues
    2
    Complexity
    2
    Learning Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigTable features and usability ratings that predict user satisfaction
    6.7
    Ease of Admin
    Average: 7.6
    8.5
    Ease of Setup
    Average: 8.2
    8.9
    Has the product been a good partner in doing business?
    Average: 8.3
    8.4
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
No information available
Market Segment
  • 41% Mid-Market
  • 32% Enterprise
Google Cloud BigTable Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Storage
8
Integrations
5
Ease of Use
4
Features
4
Application Development
3
Cons
Expensive
6
Cost Issues
5
Billing Issues
2
Complexity
2
Learning Difficulty
2
Google Cloud BigTable features and usability ratings that predict user satisfaction
6.7
Ease of Admin
Average: 7.6
8.5
Ease of Setup
Average: 8.2
8.9
Has the product been a good partner in doing business?
Average: 8.3
8.4
Ease of Use
Average: 7.9
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Keyspaces (for Apache Cassandra is a fully managed, serverless database service that enables users to run Cassandra workloads on AWS without the operational overhead of managing infrastructure.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Small-Business
    • 24% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Keyspaces features and usability ratings that predict user satisfaction
    8.7
    Ease of Admin
    Average: 7.6
    9.0
    Ease of Setup
    Average: 8.2
    8.7
    Has the product been a good partner in doing business?
    Average: 8.3
    8.5
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 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.

Amazon Keyspaces (for Apache Cassandra is a fully managed, serverless database service that enables users to run Cassandra workloads on AWS without the operational overhead of managing infrastructure.

Users
No information available
Industries
No information available
Market Segment
  • 53% Small-Business
  • 24% Enterprise
Amazon Keyspaces features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 7.6
9.0
Ease of Setup
Average: 8.2
8.7
Has the product been a good partner in doing business?
Average: 8.3
8.5
Ease of Use
Average: 7.9
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Small-Business
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Table Storage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Storage
    3
    Cost Efficiency
    2
    Efficiency
    1
    Features
    1
    Integrations
    1
    Cons
    Scalability Issues
    1
    SQL Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Table Storage features and usability ratings that predict user satisfaction
    8.7
    Ease of Admin
    Average: 7.6
    9.0
    Ease of Setup
    Average: 8.2
    8.7
    Has the product been a good partner in doing business?
    Average: 8.3
    8.7
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
No information available
Market Segment
  • 56% Small-Business
  • 31% Enterprise
Azure Table Storage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Storage
3
Cost Efficiency
2
Efficiency
1
Features
1
Integrations
1
Cons
Scalability Issues
1
SQL Limitations
1
Azure Table Storage features and usability ratings that predict user satisfaction
8.7
Ease of Admin
Average: 7.6
9.0
Ease of Setup
Average: 8.2
8.7
Has the product been a good partner in doing business?
Average: 8.3
8.7
Ease of Use
Average: 7.9
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(35)4.1 out of 5
2nd Easiest To Use in Wide Column Database software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching

    Users
    No information available
    Industries
    • Information Technology and Services
    • Internet
    Market Segment
    • 49% Enterprise
    • 34% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cassandra features and usability ratings that predict user satisfaction
    7.9
    Ease of Admin
    Average: 7.6
    8.2
    Ease of Setup
    Average: 8.2
    7.4
    Has the product been a good partner in doing business?
    Average: 8.3
    7.8
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 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.

Cassandra's data model offers the convenience of column indexes with the performance of log-structured updates, strong support for denormalization and materialized views, and powerful built-in caching

Users
No information available
Industries
  • Information Technology and Services
  • Internet
Market Segment
  • 49% Enterprise
  • 34% Mid-Market
Cassandra features and usability ratings that predict user satisfaction
7.9
Ease of Admin
Average: 7.6
8.2
Ease of Setup
Average: 8.2
7.4
Has the product been a good partner in doing business?
Average: 8.3
7.8
Ease of Use
Average: 7.9
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
(114)4.2 out of 5
3rd Easiest To Use in Wide Column Database 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
    7.0
    Ease of Admin
    Average: 7.6
    7.3
    Ease of Setup
    Average: 8.2
    8.0
    Has the product been a good partner in doing business?
    Average: 8.3
    7.6
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 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
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 27% Mid-Market
Hbase features and usability ratings that predict user satisfaction
7.0
Ease of Admin
Average: 7.6
7.3
Ease of Setup
Average: 8.2
8.0
Has the product been a good partner in doing business?
Average: 8.3
7.6
Ease of Use
Average: 7.9
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 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.

    DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataStax Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Customer Support
    9
    Features
    8
    Implementation Ease
    7
    Ease of Setup
    6
    Cons
    Learning Difficulty
    4
    Data Management Issues
    3
    Difficult Learning
    3
    Learning Curve
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    8.2
    Ease of Admin
    Average: 7.6
    8.7
    Ease of Setup
    Average: 8.2
    9.5
    Has the product been a good partner in doing business?
    Average: 8.3
    8.7
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    LinkedIn® Page
    www.linkedin.com
    425 employees on LinkedIn®
    Phone
    650-389-6000
Product Description
How are these determined?Information
This description is provided by the seller.

DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Small-Business
  • 30% Mid-Market
DataStax Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Customer Support
9
Features
8
Implementation Ease
7
Ease of Setup
6
Cons
Learning Difficulty
4
Data Management Issues
3
Difficult Learning
3
Learning Curve
3
Complexity
2
DataStax features and usability ratings that predict user satisfaction
8.2
Ease of Admin
Average: 7.6
8.7
Ease of Setup
Average: 8.2
9.5
Has the product been a good partner in doing business?
Average: 8.3
8.7
Ease of Use
Average: 7.9
Seller Details
Seller
DataStax
Year Founded
2010
HQ Location
Santa Clara, CA
LinkedIn® Page
www.linkedin.com
425 employees on LinkedIn®
Phone
650-389-6000
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Accumulo features and usability ratings that predict user satisfaction
    6.1
    Ease of Admin
    Average: 7.6
    6.1
    Ease of Setup
    Average: 8.2
    6.7
    Has the product been a good partner in doing business?
    Average: 8.3
    7.5
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,738 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.

Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system.

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 33% Enterprise
Accumulo features and usability ratings that predict user satisfaction
6.1
Ease of Admin
Average: 7.6
6.1
Ease of Setup
Average: 8.2
6.7
Has the product been a good partner in doing business?
Average: 8.3
7.5
Ease of Use
Average: 7.9
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,738 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
(38)4.5 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    YugabyteDB is turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the trad

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Mid-Market
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • YugabyteDB 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
    Reliability
    12
    Scalability
    10
    Ease of Use
    8
    High Availability
    8
    Performance
    8
    Cons
    Complexity
    8
    Learning Curve
    7
    Beginner Unfriendliness
    3
    Complex Configuration
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • YugabyteDB features and usability ratings that predict user satisfaction
    7.8
    Ease of Admin
    Average: 7.6
    8.4
    Ease of Setup
    Average: 8.2
    8.6
    Has the product been a good partner in doing business?
    Average: 8.3
    8.7
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Sunnyvale, CA
    Twitter
    @Yugabyte
    9,348 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    412 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

YugabyteDB is turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more! YugabyteDB eliminates the trad

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Mid-Market
  • 29% Small-Business
YugabyteDB 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
Reliability
12
Scalability
10
Ease of Use
8
High Availability
8
Performance
8
Cons
Complexity
8
Learning Curve
7
Beginner Unfriendliness
3
Complex Configuration
3
Slow Performance
3
YugabyteDB features and usability ratings that predict user satisfaction
7.8
Ease of Admin
Average: 7.6
8.4
Ease of Setup
Average: 8.2
8.6
Has the product been a good partner in doing business?
Average: 8.3
8.7
Ease of Use
Average: 7.9
Seller Details
Company Website
Year Founded
2016
HQ Location
Sunnyvale, CA
Twitter
@Yugabyte
9,348 Twitter followers
LinkedIn® Page
www.linkedin.com
412 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Table Store is a distributed NoSQL data storage service built on Alibaba Cloud's ApsaraDB distributed computing system, which comes with 99.99% high availability and 99.999999999% data reliability. Ta

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alibaba Table Store features and usability ratings that predict user satisfaction
    5.0
    Ease of Admin
    Average: 7.6
    3.3
    Ease of Setup
    Average: 8.2
    6.7
    Has the product been a good partner in doing business?
    Average: 8.3
    1.7
    Ease of Use
    Average: 7.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alibaba
    HQ Location
    Hangzhou
    Twitter
    @alibaba_cloud
    1,050,699 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,764 employees on LinkedIn®
    Ownership
    BABA
    Total Revenue (USD mm)
    $509,711
Product Description
How are these determined?Information
This description is provided by the seller.

Table Store is a distributed NoSQL data storage service built on Alibaba Cloud's ApsaraDB distributed computing system, which comes with 99.99% high availability and 99.999999999% data reliability. Ta

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Alibaba Table Store features and usability ratings that predict user satisfaction
5.0
Ease of Admin
Average: 7.6
3.3
Ease of Setup
Average: 8.2
6.7
Has the product been a good partner in doing business?
Average: 8.3
1.7
Ease of Use
Average: 7.9
Seller Details
Seller
Alibaba
HQ Location
Hangzhou
Twitter
@alibaba_cloud
1,050,699 Twitter followers
LinkedIn® Page
www.linkedin.com
4,764 employees on LinkedIn®
Ownership
BABA
Total Revenue (USD mm)
$509,711
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The open source database and search engine for multi-cloud applications

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elassandra features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The open source database and search engine for multi-cloud applications

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Elassandra features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HPE EZMERAL DATA FABRIC FILE & OBJECT STORE Industry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data int

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HPE Ezmeral Data Fabric features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1939
    HQ Location
    Palo Alto, CA
    Twitter
    @HPE
    88,361 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    84,251 employees on LinkedIn®
    Ownership
    NYSE: HPQ
Product Description
How are these determined?Information
This description is provided by the seller.

HPE EZMERAL DATA FABRIC FILE & OBJECT STORE Industry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data int

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
HPE Ezmeral Data Fabric features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1939
HQ Location
Palo Alto, CA
Twitter
@HPE
88,361 Twitter followers
LinkedIn® Page
www.linkedin.com
84,251 employees on LinkedIn®
Ownership
NYSE: HPQ
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NetApp Instaclustr for Apache Cassandra is a fully managed service that enables organizations to deploy, operate, and scale Cassandra clusters across cloud and on-premises environments. The platform a

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Instaclustr Apache Cassandra features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NetApp
    Year Founded
    1992
    HQ Location
    Sunnyvale, California
    Twitter
    @NetApp
    118,581 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12,657 employees on LinkedIn®
    Ownership
    NASDAQ
Product Description
How are these determined?Information
This description is provided by the seller.

NetApp Instaclustr for Apache Cassandra is a fully managed service that enables organizations to deploy, operate, and scale Cassandra clusters across cloud and on-premises environments. The platform a

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Instaclustr Apache Cassandra features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
NetApp
Year Founded
1992
HQ Location
Sunnyvale, California
Twitter
@NetApp
118,581 Twitter followers
LinkedIn® Page
www.linkedin.com
12,657 employees on LinkedIn®
Ownership
NASDAQ
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Instaclustr’s Managed Service for Apache Cassandra gets you up and running quickly and is the most reliable way to run Cassandra for your application. We are so confident in the performance of our clu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Managed Apache Cassandra features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NetApp
    Year Founded
    1992
    HQ Location
    Sunnyvale, California
    Twitter
    @NetApp
    118,581 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12,657 employees on LinkedIn®
    Ownership
    NASDAQ
Product Description
How are these determined?Information
This description is provided by the seller.

Instaclustr’s Managed Service for Apache Cassandra gets you up and running quickly and is the most reliable way to run Cassandra for your application. We are so confident in the performance of our clu

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Managed Apache Cassandra features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
NetApp
Year Founded
1992
HQ Location
Sunnyvale, California
Twitter
@NetApp
118,581 Twitter followers
LinkedIn® Page
www.linkedin.com
12,657 employees on LinkedIn®
Ownership
NASDAQ