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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

(257)4.4 out of 5
Optimized for quick response
2nd Easiest To Use in Document Databases software
View top Consulting Services for Elasticsearch
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Entry Level Price:$79 per month
  • 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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Mid-Market
    • 33% 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 handles large amounts of data, supports various search options, and integrates with numerous tools for log management, search queries, and analytics.
    • Users frequently mention Elasticsearch's speed, scalability, flexibility, and its ability to handle diverse search options like advanced relevance ranking, fuzzy search, autocomplete, and complex aggregations, as well as its ease of integration with other tools.
    • Reviewers noted that Elasticsearch has a steep learning curve, can be resource-intensive if not properly configured, and its documentation could be improved, especially around complex features and configurations.
  • 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
    Fast Search
    7
    Ease of Use
    6
    Easy Integrations
    5
    Search Speed
    5
    Data Management
    4
    Cons
    Expensive
    4
    High Learning Curve
    4
    Learning Difficulty
    4
    Poor UI
    3
    Required Expertise
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elasticsearch features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.6
    8.8
    Query Optimization
    Average: 8.0
    9.4
    Data Model
    Average: 8.5
    8.8
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Company Website
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @elastic
    64,102 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,691 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Mid-Market
  • 33% 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 handles large amounts of data, supports various search options, and integrates with numerous tools for log management, search queries, and analytics.
  • Users frequently mention Elasticsearch's speed, scalability, flexibility, and its ability to handle diverse search options like advanced relevance ranking, fuzzy search, autocomplete, and complex aggregations, as well as its ease of integration with other tools.
  • Reviewers noted that Elasticsearch has a steep learning curve, can be resource-intensive if not properly configured, and its documentation could be improved, especially around complex features and configurations.
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
Fast Search
7
Ease of Use
6
Easy Integrations
5
Search Speed
5
Data Management
4
Cons
Expensive
4
High Learning Curve
4
Learning Difficulty
4
Poor UI
3
Required Expertise
3
Elasticsearch features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.6
8.8
Query Optimization
Average: 8.0
9.4
Data Model
Average: 8.5
8.8
Operating Systems
Average: 8.3
Seller Details
Seller
Elastic
Company Website
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@elastic
64,102 Twitter followers
LinkedIn® Page
www.linkedin.com
4,691 employees on LinkedIn®
(538)4.5 out of 5
1st Easiest To Use in Document Databases software
View top Consulting Services for MongoDB
Save to My Lists
  • 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
    • 38% Enterprise
  • 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
    9
    Scalability
    9
    Flexibility
    8
    Data Storage
    7
    Schema Flexibility
    6
    Cons
    Difficult Learning
    6
    Transaction Issues
    6
    Large Data Management
    5
    Query Complexity
    5
    Complex Coding
    4
  • 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: 8.0
    8.8
    Data Model
    Average: 8.5
    8.8
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MongoDB
    Year Founded
    2007
    HQ Location
    New York
    Twitter
    @MongoDB
    504,170 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,590 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
  • 38% Enterprise
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
9
Scalability
9
Flexibility
8
Data Storage
7
Schema Flexibility
6
Cons
Difficult Learning
6
Transaction Issues
6
Large Data Management
5
Query Complexity
5
Complex Coding
4
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: 8.0
8.8
Data Model
Average: 8.5
8.8
Operating Systems
Average: 8.3
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
504,170 Twitter followers
LinkedIn® Page
www.linkedin.com
7,590 employees on LinkedIn®
Ownership
NASDAQ: MDB

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(519)4.4 out of 5
7th Easiest To Use in Document Databases software
View top Consulting Services for Amazon DynamoDB
Save to My Lists
  • 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
  • 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
    4
    Features
    3
    Integrations
    3
    Ease of Use
    2
    Easy Integrations
    2
    Cons
    Expensive
    4
    Cost Issues
    2
    Inefficient Search
    2
    Complex Configuration
    1
    Complexity
    1
  • 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: 8.0
    8.7
    Data Model
    Average: 8.5
    8.4
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,233,737 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon 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
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
4
Features
3
Integrations
3
Ease of Use
2
Easy Integrations
2
Cons
Expensive
4
Cost Issues
2
Inefficient Search
2
Complex Configuration
1
Complexity
1
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: 8.0
8.7
Data Model
Average: 8.5
8.4
Operating Systems
Average: 8.3
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,737 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(145)4.3 out of 5
5th 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
    14
    Scalability
    14
    Flexibility
    6
    Scaling
    6
    Speed
    6
    Cons
    Complex Configuration
    9
    Difficult Learning
    7
    Complexity
    5
    Lack of Features
    4
    Poor Documentation
    4
  • 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: 8.0
    8.8
    Data Model
    Average: 8.5
    8.6
    Operating Systems
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Couchbase
    Year Founded
    2009
    HQ Location
    Mountain View, CA
    Twitter
    @couchbase
    141,358 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    955 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
14
Scalability
14
Flexibility
6
Scaling
6
Speed
6
Cons
Complex Configuration
9
Difficult Learning
7
Complexity
5
Lack of Features
4
Poor Documentation
4
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: 8.0
8.8
Data Model
Average: 8.5
8.6
Operating Systems
Average: 8.3
Seller Details
Seller
Couchbase
Year Founded
2009
HQ Location
Mountain View, CA
Twitter
@couchbase
141,358 Twitter followers
LinkedIn® Page
www.linkedin.com
955 employees on LinkedIn®
Ownership
NASDAQ: BASE
(364)4.5 out of 5
4th 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
    • 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
    3
    Easy Implementation
    2
    Features
    2
    User Interface
    2
    Cost Efficiency
    1
    Cons
    Billing Issues
    1
    Connection Issues
    1
    Cost Issues
    1
    Data Management
    1
    Difficult Setup
    1
  • 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: 8.0
    9.2
    Data Model
    Average: 8.5
    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
    504,009 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,590 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
  • 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
3
Easy Implementation
2
Features
2
User Interface
2
Cost Efficiency
1
Cons
Billing Issues
1
Connection Issues
1
Cost Issues
1
Data Management
1
Difficult Setup
1
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: 8.0
9.2
Data Model
Average: 8.5
9.2
Operating Systems
Average: 8.3
Seller Details
Seller
MongoDB
Year Founded
2007
HQ Location
New York
Twitter
@MongoDB
504,009 Twitter followers
LinkedIn® Page
www.linkedin.com
7,590 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Progress 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
    10
    Ease of Use
    9
    Data Storage
    8
    Features
    8
    Flexibility
    7
    Cons
    Expensive
    5
    Learning Difficulty
    5
    Difficult Learning
    4
    Learning Curve
    4
    Slow Performance
    4
  • 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: 8.0
    8.3
    Data Model
    Average: 8.5
    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
    49,551 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,843 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 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
10
Ease of Use
9
Data Storage
8
Features
8
Flexibility
7
Cons
Expensive
5
Learning Difficulty
5
Difficult Learning
4
Learning Curve
4
Slow Performance
4
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: 8.0
8.3
Data Model
Average: 8.5
8.3
Operating Systems
Average: 8.3
Seller Details
Company Website
Year Founded
1981
HQ Location
Burlington, MA.
Twitter
@ProgressSW
49,551 Twitter followers
LinkedIn® Page
www.linkedin.com
3,843 employees on LinkedIn®
(68)4.2 out of 5
12th Easiest To Use in Document Databases software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 28% 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
    Customization
    2
    Easy Integrations
    2
    Flexibility
    2
    Integrations
    2
    API Integration
    1
    Cons
    Expensive
    2
    Complex Usage
    1
    Cost Increase
    1
    Cost Issues
    1
    Difficult Learning
    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: 8.0
    8.3
    Data Model
    Average: 8.5
    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
    13,963,119 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    232,306 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 28% 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
Customization
2
Easy Integrations
2
Flexibility
2
Integrations
2
API Integration
1
Cons
Expensive
2
Complex Usage
1
Cost Increase
1
Cost Issues
1
Difficult Learning
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: 8.0
8.3
Data Model
Average: 8.5
7.8
Operating Systems
Average: 8.3
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,963,119 Twitter followers
LinkedIn® Page
www.linkedin.com
232,306 employees on LinkedIn®
Ownership
MSFT
(95)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
    • 54% Small-Business
    • 31% 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
    Data Storage
    1
    Ease of Use
    1
    Security
    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
    8.0
    Query Optimization
    Average: 8.0
    8.7
    Data Model
    Average: 8.5
    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
    32,792,825 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    316,397 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
  • 54% Small-Business
  • 31% 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
Data Storage
1
Ease of Use
1
Security
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
8.0
Query Optimization
Average: 8.0
8.7
Data Model
Average: 8.5
8.9
Operating Systems
Average: 8.3
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,792,825 Twitter followers
LinkedIn® Page
www.linkedin.com
316,397 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(113)4.6 out of 5
Optimized for quick response
9th 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% Mid-Market
  • 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
    17
    Features
    11
    Intuitive
    7
    Customer Support
    6
    Flexibility
    6
    Cons
    Lack of Information
    7
    Improvement Needed
    6
    Poor Usability
    6
    Query Complexity
    5
    Poor Documentation
    4
  • 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: 8.0
    9.2
    Data Model
    Average: 8.5
    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
    11,666 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    79 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% Mid-Market
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
17
Features
11
Intuitive
7
Customer Support
6
Flexibility
6
Cons
Lack of Information
7
Improvement Needed
6
Poor Usability
6
Query Complexity
5
Poor Documentation
4
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: 8.0
9.2
Data Model
Average: 8.5
8.4
Operating Systems
Average: 8.3
Seller Details
Seller
ArangoDB
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@arangodb
11,666 Twitter followers
LinkedIn® Page
www.linkedin.com
79 employees on LinkedIn®