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Best Enterprise Document Databases

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, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise 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 Enterprise Business Document Databases category.

In addition to qualifying for inclusion in the Document Databases category, to qualify for inclusion in the Enterprise Business Document Databases category, a product must have at least 10 reviews left by a reviewer from an enterprise 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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8 Listings in Enterprise 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
(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

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(360)4.5 out of 5
2nd 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.

    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
(65)4.3 out of 5
7th Easiest To Use in Document Databases software
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Entry Level Price:Starting at $20.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The MarkLogic Data Hub Platform integrates and curates your enterprise data to provide immediate business value. Running on a NoSQL foundation for speed and scale, it’s multi-model, elastic, transacti

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MarkLogic 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 Management
    20
    Ease of Use
    19
    Security
    15
    Search Efficiency
    14
    Data Security
    13
    Cons
    Expensive
    10
    Learning Difficulty
    7
    Difficult Learning
    6
    Slow Performance
    6
    Learning Curve
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MarkLogic features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.6
    8.1
    Query Optimization
    Average: 7.9
    8.3
    Data Model
    Average: 8.4
    8.3
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1981
    HQ Location
    Burlington, MA.
    Twitter
    @ProgressSW
    50,188 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,615 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The MarkLogic Data Hub Platform integrates and curates your enterprise data to provide immediate business value. Running on a NoSQL foundation for speed and scale, it’s multi-model, elastic, transacti

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 25% Small-Business
MarkLogic 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 Management
20
Ease of Use
19
Security
15
Search Efficiency
14
Data Security
13
Cons
Expensive
10
Learning Difficulty
7
Difficult Learning
6
Slow Performance
6
Learning Curve
5
MarkLogic features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.6
8.1
Query Optimization
Average: 7.9
8.3
Data Model
Average: 8.4
8.3
Operating Systems
Average: 8.3
Seller Details
Company Website
Year Founded
1981
HQ Location
Burlington, MA.
Twitter
@ProgressSW
50,188 Twitter followers
LinkedIn® Page
www.linkedin.com
3,615 employees on LinkedIn®
(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)4.4 out of 5
11th 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.

    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
(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
(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®