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Best Document Databases - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Document databases store related data in document format. These databases support document creation, retrieval via query, updating and editing, and deletion of information within the documents. Document stores, because of their lack of structure, are easily scalable by utilizing clusters. Document-oriented databases allow for a variety of document model types, but house relevant data together in a semi-structured schema. The semi-structured schema allows metadata to be stored within the documents. Businesses interested in implementing a schema-less database may opt for a document database. Document databases store information in a range of encoding, or languages, including YAML, JSON, BSON, and XML, the latter of which can be qualified as its own class of databases. There are other database types similar but slightly different to document database software include object-orientated database tools, graph database tools, key-value store tools and more. Startups, small businesses and indie developers can look at free database software.

To qualify for inclusion in the Document Database category, a product must

Provide data storage
Organize data in a document model
Allow users to retrieve data

Best Document 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:

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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68 Listings in Document Databases Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data sto

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloudant features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.6
    8.8
    Query Optimization
    Average: 7.9
    9.0
    Data Model
    Average: 8.4
    9.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Fully Managed — IBM Cloud service provides a fully managed, distributed JSON document database. Instantly deploy an instance, create databases, and independently scale throughput capacity and data sto

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Small-Business
  • 31% Enterprise
IBM Cloudant features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.6
8.8
Query Optimization
Average: 7.9
9.0
Data Model
Average: 8.4
9.0
Operating Systems
Average: 8.3
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
(110)4.4 out of 5
11th Easiest To Use in Document Databases software
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 provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 22% Enterprise
    • 17% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Cosmos DB 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
    Customization
    3
    Flexibility
    3
    Easy Integrations
    2
    Integrations
    2
    API Integration
    1
    Cons
    Cost Increase
    2
    Cost Issues
    2
    Expensive
    2
    Complex Usage
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.6
    6.7
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    7.8
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high av

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 22% Enterprise
  • 17% Small-Business
Azure Cosmos DB 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
Customization
3
Flexibility
3
Easy Integrations
2
Integrations
2
API Integration
1
Cons
Cost Increase
2
Cost Issues
2
Expensive
2
Complex Usage
1
Difficult Learning
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.6
6.7
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
7.8
Operating Systems
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Mentioned in both Gartner and Forrester research, RavenDB is a pioneer in the newest database technology with over 2 million downloads and thousands of customers from Startups to Fortune 100 Large Ent

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • RavenDB 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
    1
    Dashboard Functionality
    1
    Ease of Use
    1
    Easy Integrations
    1
    Monitoring
    1
    Cons
    Limited Community Growth
    1
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RavenDB features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.6
    7.5
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    7.5
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    RavenDB
    Year Founded
    2008
    HQ Location
    Caesarea, Israel
    Twitter
    @RavenDB
    2,174 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    49 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Mentioned in both Gartner and Forrester research, RavenDB is a pioneer in the newest database technology with over 2 million downloads and thousands of customers from Startups to Fortune 100 Large Ent

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 23% Mid-Market
RavenDB 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
1
Dashboard Functionality
1
Ease of Use
1
Easy Integrations
1
Monitoring
1
Cons
Limited Community Growth
1
Poor Documentation
1
RavenDB features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
7.5
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
7.5
Operating Systems
Average: 8.3
Seller Details
Seller
RavenDB
Year Founded
2008
HQ Location
Caesarea, Israel
Twitter
@RavenDB
2,174 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
(41)4.6 out of 5
6th Easiest To Use in Document Databases software
Save to My Lists
Entry Level Price:0$
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class feat

    Users
    No information available
    Industries
    • Information Technology and Services
    • Education Management
    Market Segment
    • 54% Small-Business
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Percona Server for MongoDB features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    8.6
    Query Optimization
    Average: 7.9
    8.2
    Data Model
    Average: 8.4
    8.3
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Percona
    Year Founded
    2006
    HQ Location
    Durham, North Carolina
    Twitter
    @Percona
    16,558 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class feat

Users
No information available
Industries
  • Information Technology and Services
  • Education Management
Market Segment
  • 54% Small-Business
  • 29% Mid-Market
Percona Server for MongoDB features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
8.6
Query Optimization
Average: 7.9
8.2
Data Model
Average: 8.4
8.3
Operating Systems
Average: 8.3
Seller Details
Seller
Percona
Year Founded
2006
HQ Location
Durham, North Carolina
Twitter
@Percona
16,558 Twitter followers
LinkedIn® Page
www.linkedin.com
345 employees on LinkedIn®
(64)3.9 out of 5
9th Easiest To Use in Document Databases software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CouchDB is a database that completely embraces the web. Store your data with JSON documents.

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CouchDB 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
    3
    Scalability
    2
    Simple
    2
    API Integration
    1
    Customer Support
    1
    Cons
    Complexity
    2
    Complex Configuration
    1
    Complex Data Modeling
    1
    Complex Setup
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CouchDB features and usability ratings that predict user satisfaction
    7.3
    Has the product been a good partner in doing business?
    Average: 8.6
    7.2
    Query Optimization
    Average: 7.9
    9.3
    Data Model
    Average: 8.4
    8.9
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,229 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.

CouchDB is a database that completely embraces the web. Store your data with JSON documents.

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Small-Business
  • 27% Mid-Market
CouchDB 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
3
Scalability
2
Simple
2
API Integration
1
Customer Support
1
Cons
Complexity
2
Complex Configuration
1
Complex Data Modeling
1
Complex Setup
1
Difficult Setup
1
CouchDB features and usability ratings that predict user satisfaction
7.3
Has the product been a good partner in doing business?
Average: 8.6
7.2
Query Optimization
Average: 7.9
9.3
Data Model
Average: 8.4
8.9
Operating Systems
Average: 8.3
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,229 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
(45)4.4 out of 5
10th Easiest To Use in Document Databases software
Save to My Lists
Entry Level Price:$71 per month
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Cloud 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
    2
    Customer Support
    1
    Data Security
    1
    Easy Integrations
    1
    Monitoring
    1
    Cons
    Lack of Features
    2
    Cloud Limitations
    1
    Complex Data Modeling
    1
    Data Limitations
    1
    High Memory Usage
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Cloud features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.6
    10.0
    Query Optimization
    Average: 7.9
    10.0
    Data Model
    Average: 8.4
    10.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,736 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,129 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Cloud is our fully-managed Redis Enterprise service, delivering unmatched speed, simplicity, and scalability. It's perfect for cloud-native applications requiring real-time data processing, with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 38% Mid-Market
Redis Cloud 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
2
Customer Support
1
Data Security
1
Easy Integrations
1
Monitoring
1
Cons
Lack of Features
2
Cloud Limitations
1
Complex Data Modeling
1
Data Limitations
1
High Memory Usage
1
Redis Cloud features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.6
10.0
Query Optimization
Average: 7.9
10.0
Data Model
Average: 8.4
10.0
Operating Systems
Average: 8.3
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,736 Twitter followers
LinkedIn® Page
www.linkedin.com
1,129 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elastic Stack 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
    Easy Integrations
    5
    Data Visualization
    4
    Integrations
    4
    Analytics
    3
    Cons
    Missing Features
    4
    Complex Configuration
    2
    Feature Limitations
    2
    Lagging Issues
    2
    Poor UI
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elastic Stack features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.6
    7.3
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    9.2
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @elastic
    64,223 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,199 employees on LinkedIn®
    Ownership
    NYSE: ESTC
Product Description
How are these determined?Information
This description is provided by the seller.

See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Mid-Market
  • 36% Enterprise
Elastic Stack 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
Easy Integrations
5
Data Visualization
4
Integrations
4
Analytics
3
Cons
Missing Features
4
Complex Configuration
2
Feature Limitations
2
Lagging Issues
2
Poor UI
2
Elastic Stack features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.6
7.3
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
9.2
Operating Systems
Average: 8.3
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@elastic
64,223 Twitter followers
LinkedIn® Page
www.linkedin.com
4,199 employees on LinkedIn®
Ownership
NYSE: ESTC
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Radar Docs can organize and manage all important company information. Radar Docs creates a corporate governance premium while providing transparency. Keep data secure, have superior efficiency, and al

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Small-Business
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Radar Docs 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
    9
    Search Efficiency
    4
    Document Management
    3
    Cloud Services
    2
    Data Storage
    2
    Cons
    Difficult Learning
    3
    Poor UI
    3
    Data Size Limitations
    2
    Expensive
    2
    Inefficient Search
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Radar Docs features and usability ratings that predict user satisfaction
    7.2
    Has the product been a good partner in doing business?
    Average: 8.6
    7.7
    Query Optimization
    Average: 7.9
    8.1
    Data Model
    Average: 8.4
    8.7
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DocDep
    Year Founded
    2009
    HQ Location
    Bryn Mawr
    LinkedIn® Page
    www.linkedin.com
    176 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Radar Docs can organize and manage all important company information. Radar Docs creates a corporate governance premium while providing transparency. Keep data secure, have superior efficiency, and al

Users
No information available
Industries
No information available
Market Segment
  • 46% Small-Business
  • 31% Enterprise
Radar Docs 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
9
Search Efficiency
4
Document Management
3
Cloud Services
2
Data Storage
2
Cons
Difficult Learning
3
Poor UI
3
Data Size Limitations
2
Expensive
2
Inefficient Search
2
Radar Docs features and usability ratings that predict user satisfaction
7.2
Has the product been a good partner in doing business?
Average: 8.6
7.7
Query Optimization
Average: 7.9
8.1
Data Model
Average: 8.4
8.7
Operating Systems
Average: 8.3
Seller Details
Seller
DocDep
Year Founded
2009
HQ Location
Bryn Mawr
LinkedIn® Page
www.linkedin.com
176 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by,

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RethinkDB features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.6
    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
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @hyperledger
    142 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    112 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by,

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 40% Mid-Market
RethinkDB features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@hyperledger
142 Twitter followers
LinkedIn® Page
www.linkedin.com
112 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SQL-RD is a dynamic, flexible, function-rich and intuitive automation tool for scheduling, exporting, distributing and delivering Microsoft SQL Server Reporting Services (SSRS) Reports.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 62% Mid-Market
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL-RD SSRS Data Driven Automation features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.6
    6.7
    Query Optimization
    Average: 7.9
    6.7
    Data Model
    Average: 8.4
    5.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2002
    HQ Location
    Charlotte, NC
    Twitter
    @csssoft
    3,740 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SQL-RD is a dynamic, flexible, function-rich and intuitive automation tool for scheduling, exporting, distributing and delivering Microsoft SQL Server Reporting Services (SSRS) Reports.

Users
No information available
Industries
No information available
Market Segment
  • 62% Mid-Market
  • 31% Enterprise
SQL-RD SSRS Data Driven Automation features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.6
6.7
Query Optimization
Average: 7.9
6.7
Data Model
Average: 8.4
5.0
Operating Systems
Average: 8.3
Seller Details
Year Founded
2002
HQ Location
Charlotte, NC
Twitter
@csssoft
3,740 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Drill features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.6
    10.0
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    9.2
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,229 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 Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Enterprise
  • 36% Small-Business
Apache Drill features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
10.0
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
9.2
Operating Systems
Average: 8.3
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,229 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to process

    Users
    No information available
    Industries
    • Hospital & Health Care
    • Computer Software
    Market Segment
    • 61% Small-Business
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InterSystems Caché features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.6
    6.7
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1978
    HQ Location
    Cambridge, MA
    Twitter
    @InterSystems
    63,010 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,925 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

InterSystems Caché® is a high-performance database that powers transaction processing applications around the world. It is used for everything from mapping a billion stars in the Milky Way, to process

Users
No information available
Industries
  • Hospital & Health Care
  • Computer Software
Market Segment
  • 61% Small-Business
  • 24% Mid-Market
InterSystems Caché features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.6
6.7
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
0.0
No information available
Seller Details
Company Website
Year Founded
1978
HQ Location
Cambridge, MA
Twitter
@InterSystems
63,010 Twitter followers
LinkedIn® Page
www.linkedin.com
1,925 employees on LinkedIn®
(38)4.6 out of 5
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  • Overview
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  • 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
    Market Segment
    • 39% Small-Business
    • 37% Enterprise
    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.
    • DataStax Astra DB is a fully managed database service with advanced vector search capabilities and real-time processing, designed to simplify database operations and handle diverse types of queries.
    • Users frequently mention the simplicity of AstraDB, its powerful vector capabilities, the wide range of open-source options, and the supportive and responsive team at DataStax.
    • Reviewers mentioned a steep learning curve due to the long list of Query APIs, high costs, lack of sufficient video tutorials and templates, and the need for significant operational resources to manage distributed Cassandra clusters.
  • 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
    Customer Support
    13
    Ease of Use
    12
    Features
    9
    Integrations
    7
    Data Management
    6
    Cons
    Data Management Issues
    5
    Difficult Learning
    4
    Learning Curve
    4
    Learning Difficulty
    4
    Poor Documentation
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.6
    10.0
    Query Optimization
    Average: 7.9
    9.4
    Data Model
    Average: 8.4
    10.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Company Website
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    Twitter
    @DataStax
    98,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    694 employees on LinkedIn®
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
Market Segment
  • 39% Small-Business
  • 37% Enterprise
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.
  • DataStax Astra DB is a fully managed database service with advanced vector search capabilities and real-time processing, designed to simplify database operations and handle diverse types of queries.
  • Users frequently mention the simplicity of AstraDB, its powerful vector capabilities, the wide range of open-source options, and the supportive and responsive team at DataStax.
  • Reviewers mentioned a steep learning curve due to the long list of Query APIs, high costs, lack of sufficient video tutorials and templates, and the need for significant operational resources to manage distributed Cassandra clusters.
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
Customer Support
13
Ease of Use
12
Features
9
Integrations
7
Data Management
6
Cons
Data Management Issues
5
Difficult Learning
4
Learning Curve
4
Learning Difficulty
4
Poor Documentation
3
DataStax features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.6
10.0
Query Optimization
Average: 7.9
9.4
Data Model
Average: 8.4
10.0
Operating Systems
Average: 8.3
Seller Details
Seller
DataStax
Company Website
Year Founded
2010
HQ Location
Santa Clara, CA
Twitter
@DataStax
98,967 Twitter followers
LinkedIn® Page
www.linkedin.com
694 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GigaSpaces is redefining in-memory technology to drive enterprise digital transformation with unparalleled speed, performance and scale. The GigaSpaces Portfolio delivers the fastest, scalable and eas

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GigaSpaces features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.6
    8.3
    Query Optimization
    Average: 7.9
    10.0
    Data Model
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2000
    HQ Location
    Herziliyah, Central
    Twitter
    @GigaSpaces
    2,874 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    113 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GigaSpaces is redefining in-memory technology to drive enterprise digital transformation with unparalleled speed, performance and scale. The GigaSpaces Portfolio delivers the fastest, scalable and eas

Users
No information available
Industries
No information available
Market Segment
  • 53% Enterprise
  • 33% Mid-Market
GigaSpaces features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
8.3
Query Optimization
Average: 7.9
10.0
Data Model
Average: 8.4
0.0
No information available
Seller Details
Year Founded
2000
HQ Location
Herziliyah, Central
Twitter
@GigaSpaces
2,874 Twitter followers
LinkedIn® Page
www.linkedin.com
113 employees on LinkedIn®
(18)4.7 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud Datastore is a highly scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 22% Enterprise
    • 11% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Datastore features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    0.0
    No information available
    8.3
    Data Model
    Average: 8.4
    10.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud Datastore is a highly scalable NoSQL database for your applications. Cloud Datastore automatically handles sharding and replication, providing you with a highly available and durable database th

Users
No information available
Industries
No information available
Market Segment
  • 22% Enterprise
  • 11% Mid-Market
Google Cloud Datastore features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
0.0
No information available
8.3
Data Model
Average: 8.4
10.0
Operating Systems
Average: 8.3
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG