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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.

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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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9 Listings in Enterprise Document Databases Available

(270)4.4 out of 5
Optimized for quick response
3rd Easiest To Use in Document Databases software
View top Consulting Services for Elasticsearch
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Entry Level Price:Starting at $99.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% 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.
    • Elasticsearch is a search and analytics platform that allows users to retrieve search results for specific API transaction IDs, perform complex text queries, integrate with APIs, and monitor logs.
    • Reviewers frequently mention the platform's speed, scalability, and flexibility, as well as its ability to handle large volumes of data and deliver near-instant results.
    • Users experienced challenges with high memory consumption, mapping conflicts, and complex setup processes, and some found the cost to be steep considering the amount of gigabytes included.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elasticsearch 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
    38
    Fast Search
    26
    Features
    23
    Speed
    23
    Results
    22
    Cons
    Expensive
    20
    Improvement Needed
    19
    Required Expertise
    19
    Difficult Learning
    18
    Learning Difficulty
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elasticsearch features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.6
    8.8
    Query Optimization
    Average: 8.1
    9.5
    Data Model
    Average: 8.5
    8.9
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Company Website
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,246 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,808 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% 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.
  • Elasticsearch is a search and analytics platform that allows users to retrieve search results for specific API transaction IDs, perform complex text queries, integrate with APIs, and monitor logs.
  • Reviewers frequently mention the platform's speed, scalability, and flexibility, as well as its ability to handle large volumes of data and deliver near-instant results.
  • Users experienced challenges with high memory consumption, mapping conflicts, and complex setup processes, and some found the cost to be steep considering the amount of gigabytes included.
Elasticsearch 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
38
Fast Search
26
Features
23
Speed
23
Results
22
Cons
Expensive
20
Improvement Needed
19
Required Expertise
19
Difficult Learning
18
Learning Difficulty
18
Elasticsearch features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.6
8.8
Query Optimization
Average: 8.1
9.5
Data Model
Average: 8.5
8.9
Operating Systems
Average: 8.4
Seller Details
Seller
Elastic
Company Website
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,246 Twitter followers
LinkedIn® Page
www.linkedin.com
4,808 employees on LinkedIn®
(524)4.4 out of 5
7th 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
    • 35% Enterprise
    • 33% Mid-Market
    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.
    • DynamoDB is a fully managed, serverless database service that offers automatic scaling, high performance, low latency, and flexible data model.
    • Reviewers like the automatic scaling, high performance, low latency, and the flexibility of the data model, as well as its easy integration and high availability.
    • Reviewers noted limitations in query capabilities, challenges in cost management, item size limit, and complexities in backup and restore costs.
  • 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
    Ease of Use
    5
    Performance
    4
    Cost Efficiency
    3
    Flexibility
    3
    Cons
    Expensive
    7
    Query Complexity
    5
    Complexity
    3
    Cost Issues
    3
    Learning Curve
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon DynamoDB features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.6
    8.4
    Query Optimization
    Average: 8.1
    8.8
    Data Model
    Average: 8.5
    8.4
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,572 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 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
  • 35% Enterprise
  • 33% Mid-Market
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.
  • DynamoDB is a fully managed, serverless database service that offers automatic scaling, high performance, low latency, and flexible data model.
  • Reviewers like the automatic scaling, high performance, low latency, and the flexibility of the data model, as well as its easy integration and high availability.
  • Reviewers noted limitations in query capabilities, challenges in cost management, item size limit, and complexities in backup and restore costs.
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
Ease of Use
5
Performance
4
Cost Efficiency
3
Flexibility
3
Cons
Expensive
7
Query Complexity
5
Complexity
3
Cost Issues
3
Learning Curve
3
Amazon DynamoDB features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.6
8.4
Query Optimization
Average: 8.1
8.8
Data Model
Average: 8.5
8.4
Operating Systems
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,572 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
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(544)4.5 out of 5
2nd Easiest To Use in Document Databases software
View top Consulting Services for MongoDB
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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% Small-Business
    • 37% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • MongoDB is a database system that supports multiple data structures, document-based storage, and high availability, and integrates easily with various programming languages and environments.
    • Reviewers like the flexibility and scalability of MongoDB, its ability to handle unstructured data, the ease of setup, and the robust documentation available for getting started.
    • Reviewers noted that complex queries can be less intuitive than in traditional SQL databases, dealing with large datasets might require extensive indexing and optimization, and certain features require additional setup or a paid account.
  • 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
    10
    Flexibility
    8
    Performance
    7
    Scalability
    7
    Speed
    6
    Cons
    Difficult Learning
    7
    Learning Curve
    5
    Query Complexity
    5
    Complex Coding
    3
    Lack of Features
    3
  • 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: 8.1
    8.8
    Data Model
    Average: 8.5
    8.9
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    502,444 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,592 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% Small-Business
  • 37% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • MongoDB is a database system that supports multiple data structures, document-based storage, and high availability, and integrates easily with various programming languages and environments.
  • Reviewers like the flexibility and scalability of MongoDB, its ability to handle unstructured data, the ease of setup, and the robust documentation available for getting started.
  • Reviewers noted that complex queries can be less intuitive than in traditional SQL databases, dealing with large datasets might require extensive indexing and optimization, and certain features require additional setup or a paid account.
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
10
Flexibility
8
Performance
7
Scalability
7
Speed
6
Cons
Difficult Learning
7
Learning Curve
5
Query Complexity
5
Complex Coding
3
Lack of Features
3
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: 8.1
8.8
Data Model
Average: 8.5
8.9
Operating Systems
Average: 8.4
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
502,444 Twitter followers
LinkedIn® Page
www.linkedin.com
7,592 employees on LinkedIn®
Ownership
NASDAQ: MDB
(97)4.2 out of 5
4th 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
    • 53% Small-Business
    • 30% 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
    Security
    2
    Data Storage
    1
    Ease of Use
    1
    Features
    1
    Flexibility
    1
    Cons
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Firestore features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.6
    7.9
    Query Optimization
    Average: 8.1
    8.7
    Data Model
    Average: 8.5
    8.9
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,652,748 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 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
  • 53% Small-Business
  • 30% 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
Security
2
Data Storage
1
Ease of Use
1
Features
1
Flexibility
1
Cons
Expensive
1
Google Cloud Firestore features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.6
7.9
Query Optimization
Average: 8.1
8.7
Data Model
Average: 8.5
8.9
Operating Systems
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,652,748 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(145)4.3 out of 5
6th 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.

    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
    • 40% Small-Business
    • 32% Enterprise
  • 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
    Ease of Use
    12
    Scalability
    10
    Documentation
    4
    Ease of Setup
    4
    Flexibility
    4
    Cons
    Complex Configuration
    8
    Difficult Learning
    6
    Complexity
    5
    Poor Documentation
    3
    Data Management
    2
  • 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
    8.8
    Query Optimization
    Average: 8.1
    8.8
    Data Model
    Average: 8.5
    8.6
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Couchbase
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @couchbase
    136,595 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    900 employees on LinkedIn®
    Ownership
    NASDAQ: BASE
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
  • 40% Small-Business
  • 32% Enterprise
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
Ease of Use
12
Scalability
10
Documentation
4
Ease of Setup
4
Flexibility
4
Cons
Complex Configuration
8
Difficult Learning
6
Complexity
5
Poor Documentation
3
Data Management
2
Couchbase features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.6
8.8
Query Optimization
Average: 8.1
8.8
Data Model
Average: 8.5
8.6
Operating Systems
Average: 8.4
Seller Details
Seller
Couchbase
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@couchbase
136,595 Twitter followers
LinkedIn® Page
www.linkedin.com
900 employees on LinkedIn®
Ownership
NASDAQ: BASE
(368)4.5 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.

    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
    • Software Developer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Small-Business
    • 25% 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
    6
    User Interface
    5
    Features
    4
    Scalability
    4
    Performance Efficiency
    3
    Cons
    Expensive Pricing
    3
    Unclear Pricing
    3
    Expensive
    2
    High Memory Usage
    2
    Latency Issues
    2
  • 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: 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
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    502,444 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,592 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
  • Software Developer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Small-Business
  • 25% 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
6
User Interface
5
Features
4
Scalability
4
Performance Efficiency
3
Cons
Expensive Pricing
3
Unclear Pricing
3
Expensive
2
High Memory Usage
2
Latency Issues
2
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: 8.1
9.2
Data Model
Average: 8.5
9.2
Operating Systems
Average: 8.4
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
502,444 Twitter followers
LinkedIn® Page
www.linkedin.com
7,592 employees on LinkedIn®
Ownership
NASDAQ: MDB
(65)4.3 out of 5
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.

    Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily disco

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Progress 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: 8.1
    8.3
    Data Model
    Average: 8.5
    8.3
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1981
    HQ Location
    Burlington, MA.
    Twitter
    @ProgressSW
    48,925 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,205 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Progress MarkLogic is an enterprise-grade multi-model data management platform that unlocks value from complex data. It works with the full breadth of a company's information and makes it easily disco

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 25% Small-Business
Progress 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: 8.1
8.3
Data Model
Average: 8.5
8.3
Operating Systems
Average: 8.4
Seller Details
Company Website
Year Founded
1981
HQ Location
Burlington, MA.
Twitter
@ProgressSW
48,925 Twitter followers
LinkedIn® Page
www.linkedin.com
4,205 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 is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 28% Mid-Market
  • 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
    13,085,372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 28% Mid-Market
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
13,085,372 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
(115)4.6 out of 5
Optimized for quick response
10th Easiest To Use in Document Databases software
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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.

    Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimit

    Users
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Small-Business
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Arango 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
    15
    Features
    11
    Querying
    8
    Intuitive
    7
    Customization
    6
    Cons
    Improvement Needed
    5
    Poor Usability
    5
    Difficult Learning
    4
    Learning Curve
    4
    Learning Difficulty
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Arango 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: 8.1
    9.2
    Data Model
    Average: 8.5
    8.4
    Operating Systems
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Arango
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    LinkedIn® Page
    www.linkedin.com
    95 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arango provides a trusted data foundation for Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimit

Users
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Small-Business
  • 23% Mid-Market
Arango 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
15
Features
11
Querying
8
Intuitive
7
Customization
6
Cons
Improvement Needed
5
Poor Usability
5
Difficult Learning
4
Learning Curve
4
Learning Difficulty
4
Arango 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: 8.1
9.2
Data Model
Average: 8.5
8.4
Operating Systems
Average: 8.4
Seller Details
Seller
Arango
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®