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Best Document Databases for for Small Business

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Document Databases category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Document Databases to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Document Databases category.

In addition to qualifying for inclusion in the Document Databases category, to qualify for inclusion in the Small Business Document Databases category, a product must have at least 10 reviews left by a reviewer from a small business.

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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14 Listings in Small Business Document Databases Available

(531)4.5 out of 5
1st Easiest To Use in Document Databases software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built by developers, for developers, MongoDB's developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for tod

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Enterprise
    • 37% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MongoDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Scalability
    17
    Flexibility
    16
    Data Storage
    14
    MongoDB Compatibility
    10
    Cons
    Difficult Learning
    11
    Learning Curve
    9
    Query Complexity
    9
    Transaction Issues
    9
    Complex Coding
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MongoDB features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.6
    8.6
    Query Optimization
    Average: 7.9
    8.8
    Data Model
    Average: 8.4
    8.9
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    496,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6,990 employees on LinkedIn®
    Ownership
    NASDAQ: MDB
Product Description
How are these determined?Information
This description is provided by the seller.

Built by developers, for developers, MongoDB's developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for tod

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Enterprise
  • 37% Small-Business
MongoDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Scalability
17
Flexibility
16
Data Storage
14
MongoDB Compatibility
10
Cons
Difficult Learning
11
Learning Curve
9
Query Complexity
9
Transaction Issues
9
Complex Coding
7
MongoDB features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.6
8.6
Query Optimization
Average: 7.9
8.8
Data Model
Average: 8.4
8.9
Operating Systems
Average: 8.3
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
496,471 Twitter followers
LinkedIn® Page
www.linkedin.com
6,990 employees on LinkedIn®
Ownership
NASDAQ: MDB
(360)4.5 out of 5
2nd 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.

    MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architec

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MongoDB Atlas 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
    60
    Setup Ease
    23
    Scalability
    21
    Easy Integrations
    20
    User Interface
    20
    Cons
    Expensive
    21
    Missing Features
    13
    Difficult Learning
    11
    Poor UI
    10
    Limitations in Storage
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MongoDB Atlas features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.6
    8.6
    Query Optimization
    Average: 7.9
    9.2
    Data Model
    Average: 8.4
    9.2
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    496,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6,990 employees on LinkedIn®
    Ownership
    NASDAQ: MDB
Product Description
How are these determined?Information
This description is provided by the seller.

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architec

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Small-Business
  • 26% Mid-Market
MongoDB Atlas 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
60
Setup Ease
23
Scalability
21
Easy Integrations
20
User Interface
20
Cons
Expensive
21
Missing Features
13
Difficult Learning
11
Poor UI
10
Limitations in Storage
9
MongoDB Atlas features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.6
8.6
Query Optimization
Average: 7.9
9.2
Data Model
Average: 8.4
9.2
Operating Systems
Average: 8.3
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
496,471 Twitter followers
LinkedIn® Page
www.linkedin.com
6,990 employees on LinkedIn®
Ownership
NASDAQ: MDB

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(111)4.2 out of 5
3rd Easiest To Use in Document Databases software
View top Consulting Services for Google Cloud Firestore
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 45% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Firestore 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
    13
    Scalability
    8
    Data Storage
    7
    Integrations
    6
    Security
    6
    Cons
    Expensive
    9
    Poor Customer Support
    6
    Query Complexity
    5
    Poor Usability
    4
    Complex Data Modeling
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Firestore features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.6
    8.0
    Query Optimization
    Average: 7.9
    8.7
    Data Model
    Average: 8.4
    8.9
    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 Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 45% Small-Business
  • 26% Mid-Market
Google Cloud Firestore 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
13
Scalability
8
Data Storage
7
Integrations
6
Security
6
Cons
Expensive
9
Poor Customer Support
6
Query Complexity
5
Poor Usability
4
Complex Data Modeling
3
Google Cloud Firestore features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.6
8.0
Query Optimization
Average: 7.9
8.7
Data Model
Average: 8.4
8.9
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
(617)4.4 out of 5
5th Easiest To Use in Document Databases software
View top Consulting Services for Amazon DynamoDB
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 28% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon DynamoDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    9
    Easy Integrations
    7
    Integrations
    7
    Ease of Use
    6
    Low Latency
    6
    Cons
    Expensive
    6
    Learning Curve
    4
    Complexity
    3
    Difficult Learning
    3
    Data Management
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon DynamoDB features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    8.4
    Query Optimization
    Average: 7.9
    8.8
    Data Model
    Average: 8.4
    8.4
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon DynamoDB is a pioneering NoSQL, fully managed, serverless database with limitless scalability and single-digit millisecond latency performance enabling customers to develop modern, microservice

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 28% Enterprise
  • 27% Mid-Market
Amazon DynamoDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
9
Easy Integrations
7
Integrations
7
Ease of Use
6
Low Latency
6
Cons
Expensive
6
Learning Curve
4
Complexity
3
Difficult Learning
3
Data Management
2
Amazon DynamoDB features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
8.4
Query Optimization
Average: 7.9
8.8
Data Model
Average: 8.4
8.4
Operating Systems
Average: 8.3
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(136)4.3 out of 5
Optimized for quick response
4th Easiest To Use in Document Databases software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerfu

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Small-Business
    • 35% 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.
    • Couchbase is a NoSQL database that provides capabilities and storage for large projects, with features such as a full text search engine, performance and scalability, and support for non-semi structured data.
    • Reviewers like the ease of use, the SQL-like query language, the high performance and scalability, the built-in full text search and analytics, and the support for unstructured data.
    • Users mentioned a steep learning curve for those coming from an RDMS environment, a complicated setup on Linux, a lack of clarity in some areas of the documentation, and occasional connection issues or query timeouts.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Couchbase Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Scalability
    12
    Ease of Use
    9
    Flexibility
    6
    Scaling
    6
    Documentation
    5
    Cons
    Complex Configuration
    8
    Difficult Learning
    5
    Lack of Features
    4
    Poor Documentation
    4
    Complexity
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Couchbase features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.6
    8.9
    Query Optimization
    Average: 7.9
    9.0
    Data Model
    Average: 8.4
    8.9
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Couchbase
    Company Website
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @couchbase
    143,325 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    933 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerfu

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Small-Business
  • 35% 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.
  • Couchbase is a NoSQL database that provides capabilities and storage for large projects, with features such as a full text search engine, performance and scalability, and support for non-semi structured data.
  • Reviewers like the ease of use, the SQL-like query language, the high performance and scalability, the built-in full text search and analytics, and the support for unstructured data.
  • Users mentioned a steep learning curve for those coming from an RDMS environment, a complicated setup on Linux, a lack of clarity in some areas of the documentation, and occasional connection issues or query timeouts.
Couchbase Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Scalability
12
Ease of Use
9
Flexibility
6
Scaling
6
Documentation
5
Cons
Complex Configuration
8
Difficult Learning
5
Lack of Features
4
Poor Documentation
4
Complexity
3
Couchbase features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
8.9
Query Optimization
Average: 7.9
9.0
Data Model
Average: 8.4
8.9
Operating Systems
Average: 8.3
Seller Details
Seller
Couchbase
Company Website
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@couchbase
143,325 Twitter followers
LinkedIn® Page
www.linkedin.com
933 employees on LinkedIn®
(110)4.6 out of 5
Optimized for quick response
8th Easiest To Use in Document Databases software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

    Users
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 22% 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.
    • ArangoDB is an open-source database that supports graph, document, and key-value data models and provides a unified query language for handling both graph and relational-style queries.
    • Reviewers appreciate ArangoDB's user-friendly interface, its compatibility with schema-less design, the flexibility as a graph database, and the ability to write JSON-first queries using AQL.
    • Users mentioned that the management and operations on collections and databases using AQL are weak, the documentation could be improved, and there is a degree of lock-in due to the unified query language.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ArangoDB 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
    22
    Features
    14
    Flexibility
    12
    Querying
    12
    Customer Support
    11
    Cons
    Improvement Needed
    8
    Lack of Information
    8
    Query Complexity
    7
    Difficult Learning
    6
    Limitations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ArangoDB features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    8.4
    Query Optimization
    Average: 7.9
    9.2
    Data Model
    Average: 8.4
    8.4
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ArangoDB
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @arangodb
    11,802 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ArangoDB is the company behind the leading, multi-model graph data and analytics platform that uncovers insights that are difficult or impossible with traditional SQL, Document, or even legacy graph d

Users
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 58% Small-Business
  • 22% 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.
  • ArangoDB is an open-source database that supports graph, document, and key-value data models and provides a unified query language for handling both graph and relational-style queries.
  • Reviewers appreciate ArangoDB's user-friendly interface, its compatibility with schema-less design, the flexibility as a graph database, and the ability to write JSON-first queries using AQL.
  • Users mentioned that the management and operations on collections and databases using AQL are weak, the documentation could be improved, and there is a degree of lock-in due to the unified query language.
ArangoDB 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
22
Features
14
Flexibility
12
Querying
12
Customer Support
11
Cons
Improvement Needed
8
Lack of Information
8
Query Complexity
7
Difficult Learning
6
Limitations
6
ArangoDB features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
8.4
Query Optimization
Average: 7.9
9.2
Data Model
Average: 8.4
8.4
Operating Systems
Average: 8.3
Seller Details
Seller
ArangoDB
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@arangodb
11,802 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
By SAP
(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: 7.9
    9.0
    Data Model
    Average: 8.4
    8.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,846 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 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: 7.9
9.0
Data Model
Average: 8.4
8.0
Operating Systems
Average: 8.3
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,846 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
(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®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an ope

    Users
    No information available
    Industries
    • Hospital & Health Care
    • Computer Software
    Market Segment
    • 65% Small-Business
    • 20% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InterSystems IRIS features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.6
    9.4
    Query Optimization
    Average: 7.9
    9.2
    Data Model
    Average: 8.4
    9.2
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    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 IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an ope

Users
No information available
Industries
  • Hospital & Health Care
  • Computer Software
Market Segment
  • 65% Small-Business
  • 20% Enterprise
InterSystems IRIS features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.6
9.4
Query Optimization
Average: 7.9
9.2
Data Model
Average: 8.4
9.2
Operating Systems
Average: 8.3
Seller Details
Year Founded
1978
HQ Location
Cambridge, MA
Twitter
@InterSystems
63,010 Twitter followers
LinkedIn® Page
www.linkedin.com
1,925 employees on LinkedIn®
  • 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: 7.9
    10.0
    Data Model
    Average: 8.4
    10.0
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

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: 7.9
10.0
Data Model
Average: 8.4
10.0
Operating Systems
Average: 8.3
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(25)4.4 out of 5
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.

    Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 64% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Fauna 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
    Scalability
    6
    Flexibility
    5
    Cost-Effective
    3
    Customer Support
    3
    Cons
    Difficult Learning
    4
    Poor Documentation
    3
    Complexity
    1
    Complex Setup
    1
    Cost Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fauna features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    9.3
    Query Optimization
    Average: 7.9
    9.4
    Data Model
    Average: 8.4
    8.3
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fauna
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @fauna
    95,460 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 64% Small-Business
  • 24% Mid-Market
Fauna 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
Scalability
6
Flexibility
5
Cost-Effective
3
Customer Support
3
Cons
Difficult Learning
4
Poor Documentation
3
Complexity
1
Complex Setup
1
Cost Issues
1
Fauna features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
9.3
Query Optimization
Average: 7.9
9.4
Data Model
Average: 8.4
8.3
Operating Systems
Average: 8.3
Seller Details
Seller
Fauna
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@fauna
95,460 Twitter followers
LinkedIn® Page
www.linkedin.com
46 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®
  • 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