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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
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Best Document Databases At A Glance

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

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

    Amazon WorkDocs is a secure enterprise storage and sharing service with strong administrative controls and feedback capabilities that improve user productivity, users can comment on files, send to oth

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 44% Small-Business
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon WorkDocs features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.6
    10.0
    Query Optimization
    Average: 8.1
    10.0
    Data Model
    Average: 8.5
    10.0
    Operating Systems
    Average: 8.4
  • 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 WorkDocs is a secure enterprise storage and sharing service with strong administrative controls and feedback capabilities that improve user productivity, users can comment on files, send to oth

Users
No information available
Industries
No information available
Market Segment
  • 44% Small-Business
  • 31% Mid-Market
Amazon WorkDocs features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.6
10.0
Query Optimization
Average: 8.1
10.0
Data Model
Average: 8.5
10.0
Operating Systems
Average: 8.4
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
(60)3.9 out of 5
View top Consulting Services for OrientDB
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Entry Level Price:FREE
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relation

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OrientDB 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
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OrientDB features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.6
    7.7
    Query Optimization
    Average: 8.1
    9.0
    Data Model
    Average: 8.5
    8.0
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,341 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135,108 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

OrientDB is the first Multi-Model Distributed DBMS with a True Graph Engine. Multi-Model means 2nd generation NoSQL able to manage complex domain with incredible performance. OrientDB manages relation

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Small-Business
  • 42% Mid-Market
OrientDB 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
1
Cons
This product has not yet received any negative sentiments.
OrientDB features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.6
7.7
Query Optimization
Average: 8.1
9.0
Data Model
Average: 8.5
8.0
Operating Systems
Average: 8.4
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,341 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
Ownership
NYSE:SAP

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(132)4.5 out of 5
View top Consulting Services for Redis Software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Software 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
    2
    Useful
    2
    Ease of Setup
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Complexity
    1
    Data Size Limitations
    1
    Limited Chart Features
    1
    Query Complexity
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Software features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.6
    9.2
    Query Optimization
    Average: 8.1
    7.9
    Data Model
    Average: 8.5
    8.8
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,814 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,455 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 27% Mid-Market
Redis Software 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
2
Useful
2
Ease of Setup
1
Ease of Use
1
Easy Integrations
1
Cons
Complexity
1
Data Size Limitations
1
Limited Chart Features
1
Query Complexity
1
Slow Performance
1
Redis Software features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.6
9.2
Query Optimization
Average: 8.1
7.9
Data Model
Average: 8.5
8.8
Operating Systems
Average: 8.4
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,814 Twitter followers
LinkedIn® Page
www.linkedin.com
1,455 employees on LinkedIn®
(68)4.2 out of 5
13th 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
    • 44% Enterprise
    • 28% 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
    Ease of Use
    4
    Features
    3
    Integrations
    3
    Scalability
    3
    Customization
    2
    Cons
    Expensive
    3
    Cost Issues
    2
    Complexity Issues
    1
    Complex Usage
    1
    Cost Increase
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.6
    6.7
    Query Optimization
    Average: 8.1
    8.3
    Data Model
    Average: 8.5
    7.8
    Operating Systems
    Average: 8.4
  • 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 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
  • 44% Enterprise
  • 28% 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
Ease of Use
4
Features
3
Integrations
3
Scalability
3
Customization
2
Cons
Expensive
3
Cost Issues
2
Complexity Issues
1
Complex Usage
1
Cost Increase
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
6.7
Query Optimization
Average: 8.1
8.3
Data Model
Average: 8.5
7.8
Operating Systems
Average: 8.4
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
(41)4.6 out of 5
5th 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: 8.1
    8.2
    Data Model
    Average: 8.5
    8.3
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Percona
    Year Founded
    2006
    HQ Location
    Durham, North Carolina
    Twitter
    @Percona
    16,395 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    342 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: 8.1
8.2
Data Model
Average: 8.5
8.3
Operating Systems
Average: 8.4
Seller Details
Seller
Percona
Year Founded
2006
HQ Location
Durham, North Carolina
Twitter
@Percona
16,395 Twitter followers
LinkedIn® Page
www.linkedin.com
342 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
    • 57% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SQL-RD SSRS Data Driven Automation 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
    Backup Automation
    1
    Flexibility
    1
    Options
    1
    Cons
    Complex Configuration
    1
    Poor UI
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL-RD SSRS Data Driven Automation features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.6
    6.7
    Query Optimization
    Average: 8.1
    7.5
    Data Model
    Average: 8.5
    6.7
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2002
    HQ Location
    Charlotte, NC
    Twitter
    @csssoft
    3,672 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 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
  • 57% Mid-Market
  • 29% Enterprise
SQL-RD SSRS Data Driven Automation 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
Backup Automation
1
Flexibility
1
Options
1
Cons
Complex Configuration
1
Poor UI
1
SQL-RD SSRS Data Driven Automation features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.6
6.7
Query Optimization
Average: 8.1
7.5
Data Model
Average: 8.5
6.7
Operating Systems
Average: 8.4
Seller Details
Year Founded
2002
HQ Location
Charlotte, NC
Twitter
@csssoft
3,672 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
(43)4.6 out of 5
11th Easiest To Use in Document Databases software
View top Consulting Services for Redis Cloud
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Entry Level Price:$71 per month
  • Overview
    Expand/Collapse Overview
  • 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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Small-Business
    • 42% Mid-Market
  • 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: 8.1
    10.0
    Data Model
    Average: 8.5
    10.0
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,814 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,455 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% Small-Business
  • 42% Mid-Market
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: 8.1
10.0
Data Model
Average: 8.5
10.0
Operating Systems
Average: 8.4
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,814 Twitter followers
LinkedIn® Page
www.linkedin.com
1,455 employees on LinkedIn®
(94)4.5 out of 5
View top Consulting Services for Elastic Stack
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  • 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
    Data Visualization
    3
    Easy Integrations
    3
    Flexibility
    3
    Integrations
    3
    Versatility
    3
    Cons
    Expensive
    2
    High Memory Usage
    2
    Resource Management
    2
    Bugs
    1
    Complexity Issues
    1
  • 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: 8.1
    8.3
    Data Model
    Average: 8.5
    9.2
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,203 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,788 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
Data Visualization
3
Easy Integrations
3
Flexibility
3
Integrations
3
Versatility
3
Cons
Expensive
2
High Memory Usage
2
Resource Management
2
Bugs
1
Complexity Issues
1
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: 8.1
8.3
Data Model
Average: 8.5
9.2
Operating Systems
Average: 8.4
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,203 Twitter followers
LinkedIn® Page
www.linkedin.com
4,788 employees on LinkedIn®
Ownership
NYSE: ESTC
(64)3.9 out of 5
12th 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
  • 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: 8.1
    9.3
    Data Model
    Average: 8.5
    8.9
    Operating Systems
    Average: 8.4
  • 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.

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 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: 8.1
9.3
Data Model
Average: 8.5
8.9
Operating Systems
Average: 8.4
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.

    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
    265 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 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
265 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • 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: 8.1
    8.3
    Data Model
    Average: 8.5
    9.2
    Operating Systems
    Average: 8.4
  • 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.

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: 8.1
8.3
Data Model
Average: 8.5
9.2
Operating Systems
Average: 8.4
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.

    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
  • 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: 8.1
    8.1
    Data Model
    Average: 8.5
    8.7
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DocDep
    Year Founded
    2009
    HQ Location
    Bryn Mawr
    LinkedIn® Page
    www.linkedin.com
    166 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 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: 8.1
8.1
Data Model
Average: 8.5
8.7
Operating Systems
Average: 8.4
Seller Details
Seller
DocDep
Year Founded
2009
HQ Location
Bryn Mawr
LinkedIn® Page
www.linkedin.com
166 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • 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: 8.1
    8.3
    Data Model
    Average: 8.5
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1978
    HQ Location
    Cambridge, MA
    Twitter
    @InterSystems
    61,891 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,052 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: 8.1
8.3
Data Model
Average: 8.5
0.0
No information available
Seller Details
Year Founded
1978
HQ Location
Cambridge, MA
Twitter
@InterSystems
61,891 Twitter followers
LinkedIn® Page
www.linkedin.com
2,052 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% Enterprise
  • 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
    9.5
    Has the product been a good partner in doing business?
    Average: 8.6
    10.0
    Query Optimization
    Average: 8.1
    9.2
    Data Model
    Average: 8.5
    9.2
    Operating Systems
    Average: 8.4
  • 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% Enterprise
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
9.5
Has the product been a good partner in doing business?
Average: 8.6
10.0
Query Optimization
Average: 8.1
9.2
Data Model
Average: 8.5
9.2
Operating Systems
Average: 8.4
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
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 85% Small-Business
    • 15% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tembo 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
    21
    Features
    14
    Integrations
    11
    Data Storage
    10
    Simple
    10
    Cons
    AWS Dependency
    5
    Limited Flexibility
    5
    Cloud Limitations
    4
    Expensive
    4
    Limited Customization
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tembo features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.6
    9.2
    Query Optimization
    Average: 8.1
    9.0
    Data Model
    Average: 8.5
    9.3
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tembo
    Year Founded
    2022
    HQ Location
    Cincinnati, US
    Twitter
    @tembo_io
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

Users
No information available
Industries
  • Computer Software
Market Segment
  • 85% Small-Business
  • 15% Mid-Market
Tembo 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
21
Features
14
Integrations
11
Data Storage
10
Simple
10
Cons
AWS Dependency
5
Limited Flexibility
5
Cloud Limitations
4
Expensive
4
Limited Customization
4
Tembo features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.6
9.2
Query Optimization
Average: 8.1
9.0
Data Model
Average: 8.5
9.3
Operating Systems
Average: 8.4
Seller Details
Seller
Tembo
Year Founded
2022
HQ Location
Cincinnati, US
Twitter
@tembo_io
1 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®