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Best Graph Database Solutions

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Graph databases use topographical data models to store data. These databases connect specific data points (nodes) and create relationships (edges) in the form of graphs that can then be pulled by the user with queries. Nodes can represent customers, companies, or any data a company chooses to record. Edges are formed by the database so that relationships between nodes are easily understood by the user. Businesses can utilize graph databases when they are pulling data and do not want to spend time organizing it into distinct relationships. Large enterprises may use complex queries to pull precise and in-depth information regarding their customer and user information or product tracking data, among other uses. Database administrators can scale high data values and still create usable models. Some businesses may choose to run an RDF database, a type of graph database that focuses on retrieving triples, or information organized in a subject-predicate-object relationship. Similar types of databases include document database tools, key-value store tools, object-orientated database tools and more. Developers who are looking for an affordable solution can look to free database software.

To qualify for inclusion in the Graph Database category, a product must:

Provide data storage
Record and represent data in a topographical schema
Allow users to retrieve the data using query language
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Best Graph Databases At A Glance

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

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69 Listings in Graph Databases Available
(30)4.4 out of 5
1st Easiest To Use in Graph Databases software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 67% Small-Business
    • 23% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Neptune features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    9.4
    Data Model
    Average: 8.8
    9.3
    Data Types
    Average: 8.9
    9.7
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,439 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 Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purp

Users
No information available
Industries
  • Computer Software
Market Segment
  • 67% Small-Business
  • 23% Enterprise
Amazon Neptune features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
9.4
Data Model
Average: 8.8
9.3
Data Types
Average: 8.9
9.7
Built - In Search
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,439 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(115)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in Graph Databases software
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Entry Level Price:Free
  • Overview
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  • 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: 8.8
    9.2
    Data Model
    Average: 8.8
    8.9
    Data Types
    Average: 8.9
    8.5
    Built - In Search
    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: 8.8
9.2
Data Model
Average: 8.8
8.9
Data Types
Average: 8.9
8.5
Built - In Search
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®

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(94)4.5 out of 5
View top Consulting Services for Elastic Stack
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elastic Stack Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Flexibility
    3
    Versatility
    3
    Analytics
    2
    Customization
    2
    Dashboard Customization
    2
    Cons
    Expensive
    2
    High Memory Usage
    2
    Resource Management
    2
    Bugs
    1
    Complexity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elastic Stack features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    9.7
    Data Types
    Average: 8.9
    9.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Elastic
    Year Founded
    2012
    HQ Location
    San Francisco, CA
    Twitter
    @elastic
    64,204 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,788 employees on LinkedIn®
    Ownership
    NYSE: ESTC
Product Description
How are these determined?Information
This description is provided by the seller.

See the Value in Your Data. Flexible analytics and visualization platform. Real-time summary and charting of streaming data. Intuitive interface for a variety of users. Instant sharing and embedding o

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Mid-Market
  • 36% Enterprise
Elastic Stack Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Flexibility
3
Versatility
3
Analytics
2
Customization
2
Dashboard Customization
2
Cons
Expensive
2
High Memory Usage
2
Resource Management
2
Bugs
1
Complexity Issues
1
Elastic Stack features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
9.7
Data Types
Average: 8.9
9.3
Built - In Search
Average: 8.4
Seller Details
Seller
Elastic
Year Founded
2012
HQ Location
San Francisco, CA
Twitter
@elastic
64,204 Twitter followers
LinkedIn® Page
www.linkedin.com
4,788 employees on LinkedIn®
Ownership
NYSE: ESTC
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Serverless, self-serve and affordable analytics designed to help you get the most out of your data.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphJSON features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Data Model
    Average: 8.8
    7.9
    Data Types
    Average: 8.9
    8.2
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GraphJSON
    HQ Location
    N/A
    Twitter
    @GraphJSON
    522 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Serverless, self-serve and affordable analytics designed to help you get the most out of your data.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 36% Mid-Market
GraphJSON features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
8.7
Data Model
Average: 8.8
7.9
Data Types
Average: 8.9
8.2
Built - In Search
Average: 8.4
Seller Details
Seller
GraphJSON
HQ Location
N/A
Twitter
@GraphJSON
522 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(133)4.5 out of 5
5th Easiest To Use in Graph 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.

    The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platfor

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neo4j Graph Database 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
    Features
    2
    Database Management
    1
    Design Flexibility
    1
    Flexibility
    1
    Cons
    Learning Curve
    2
    Backup Issues
    1
    Data Management Issues
    1
    Difficult Learning
    1
    Frequent Updates
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neo4j Graph Database features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    7.7
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.9
    8.0
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Neo4j
    Year Founded
    2007
    HQ Location
    San Mateo, CA
    Twitter
    @neo4j
    46,676 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    890 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The fastest path to graph. Centered around the leading native graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platfor

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Small-Business
  • 30% Mid-Market
Neo4j Graph Database 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
Features
2
Database Management
1
Design Flexibility
1
Flexibility
1
Cons
Learning Curve
2
Backup Issues
1
Data Management Issues
1
Difficult Learning
1
Frequent Updates
1
Neo4j Graph Database features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
7.7
Data Model
Average: 8.8
8.3
Data Types
Average: 8.9
8.0
Built - In Search
Average: 8.4
Seller Details
Seller
Neo4j
Year Founded
2007
HQ Location
San Mateo, CA
Twitter
@neo4j
46,676 Twitter followers
LinkedIn® Page
www.linkedin.com
890 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Small-Business
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataStax Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    11
    Customer Support
    9
    Features
    7
    Implementation Ease
    6
    Ease of Setup
    5
    Cons
    Learning Difficulty
    4
    Difficult Learning
    3
    Learning Curve
    3
    Complexity
    2
    Complex Usage
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataStax features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data Model
    Average: 8.8
    9.2
    Data Types
    Average: 8.9
    9.2
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    LinkedIn® Page
    www.linkedin.com
    425 employees on LinkedIn®
    Phone
    650-389-6000
Product Description
How are these determined?Information
This description is provided by the seller.

DataStax is the company that powers generative AI applications with real-time, scalable data and production-ready vector data tools that generative AI applications need, and seamless integration with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Small-Business
  • 30% Enterprise
DataStax Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
11
Customer Support
9
Features
7
Implementation Ease
6
Ease of Setup
5
Cons
Learning Difficulty
4
Difficult Learning
3
Learning Curve
3
Complexity
2
Complex Usage
2
DataStax features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data Model
Average: 8.8
9.2
Data Types
Average: 8.9
9.2
Built - In Search
Average: 8.4
Seller Details
Seller
DataStax
Year Founded
2010
HQ Location
Santa Clara, CA
LinkedIn® Page
www.linkedin.com
425 employees on LinkedIn®
Phone
650-389-6000
(60)3.9 out of 5
4th Easiest To Use in Graph Databases software
View top Consulting Services for OrientDB
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Entry Level Price:FREE
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OrientDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Storage
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OrientDB features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.6
    Data Model
    Average: 8.8
    7.8
    Data Types
    Average: 8.9
    8.2
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,327 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135,108 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Small-Business
  • 42% Mid-Market
OrientDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Storage
1
Cons
This product has not yet received any negative sentiments.
OrientDB features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
8.6
Data Model
Average: 8.8
7.8
Data Types
Average: 8.9
8.2
Built - In Search
Average: 8.4
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,327 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering o

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tigergraph features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    9.3
    Data Model
    Average: 8.8
    8.5
    Data Types
    Average: 8.9
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    Redwood City, CA
    Twitter
    @TigerGraphDB
    12,746 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    128 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering o

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 36% Mid-Market
Tigergraph features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
9.3
Data Model
Average: 8.8
8.5
Data Types
Average: 8.9
8.3
Built - In Search
Average: 8.4
Seller Details
Year Founded
2012
HQ Location
Redwood City, CA
Twitter
@TigerGraphDB
12,746 Twitter followers
LinkedIn® Page
www.linkedin.com
128 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FlockDB features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Twitter
    Year Founded
    2006
    HQ Location
    San Francisco, CA
    LinkedIn® Page
    www.linkedin.com
    1,099 employees on LinkedIn®
    Ownership
    NYSE: TWTR
    Total Revenue (USD mm)
    $3,716
Product Description
How are these determined?Information
This description is provided by the seller.

FlockDB is simpler than other graph databases because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites.

Users
No information available
Industries
No information available
Market Segment
  • 36% Mid-Market
  • 36% Small-Business
FlockDB features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Twitter
Year Founded
2006
HQ Location
San Francisco, CA
LinkedIn® Page
www.linkedin.com
1,099 employees on LinkedIn®
Ownership
NYSE: TWTR
Total Revenue (USD mm)
$3,716
(22)4.7 out of 5
2nd Easiest To Use in Graph Databases software
Save to My Lists
Entry Level Price:$39.99 per backend per...
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalabili

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 68% Small-Business
    • 18% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dgraph features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.7
    Data Model
    Average: 8.8
    9.5
    Data Types
    Average: 8.9
    9.4
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    San Francisco, CA
    Twitter
    @dgraphlabs
    17 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dgraph is the world's most advanced GraphQL database with a graph backend. The number one graph database on GitHub and over 500,000 downloads every month, Dgraph is built for performance and scalabili

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 68% Small-Business
  • 18% Enterprise
Dgraph features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 8.8
9.7
Data Model
Average: 8.8
9.5
Data Types
Average: 8.9
9.4
Built - In Search
Average: 8.4
Seller Details
Year Founded
2016
HQ Location
San Francisco, CA
Twitter
@dgraphlabs
17 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Discover powerful SharePoint Solutions for your business needs. From document management to team collaboration, our expert team can customize SharePoint to fit your unique requirements. Contact us t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Titan features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.9
    10.0
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataStax
    Year Founded
    2010
    HQ Location
    Santa Clara, CA
    LinkedIn® Page
    www.linkedin.com
    425 employees on LinkedIn®
    Phone
    650-389-6000
Product Description
How are these determined?Information
This description is provided by the seller.

Discover powerful SharePoint Solutions for your business needs. From document management to team collaboration, our expert team can customize SharePoint to fit your unique requirements. Contact us t

Users
No information available
Industries
No information available
Market Segment
  • 45% Enterprise
  • 27% Mid-Market
Titan features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
10.0
Data Types
Average: 8.9
10.0
Built - In Search
Average: 8.4
Seller Details
Seller
DataStax
Year Founded
2010
HQ Location
Santa Clara, CA
LinkedIn® Page
www.linkedin.com
425 employees on LinkedIn®
Phone
650-389-6000
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clien

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphQL features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.9
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @GraphQL
    122,442 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API, gives clien

Users
No information available
Industries
No information available
Market Segment
  • 64% Mid-Market
  • 36% Small-Business
GraphQL features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
10.0
Data Types
Average: 8.9
8.3
Built - In Search
Average: 8.4
Seller Details
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@GraphQL
122,442 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphBase features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    7.8
    Data Model
    Average: 8.8
    8.1
    Data Types
    Average: 8.9
    6.9
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    FactNexus
    Year Founded
    2010
    HQ Location
    Sydney
    Twitter
    @AskKayBot
    5 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GraphBase is a second generation Graph Database Management System (DBMS). Built for 21st Century data problems, GraphBase is a game-changer when it comes to handling large, complex data structures.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Mid-Market
GraphBase features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
7.8
Data Model
Average: 8.8
8.1
Data Types
Average: 8.9
6.9
Built - In Search
Average: 8.4
Seller Details
Seller
FactNexus
Year Founded
2010
HQ Location
Sydney
Twitter
@AskKayBot
5 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive busine

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Small-Business
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Stardog features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Data Model
    Average: 8.8
    8.1
    Data Types
    Average: 8.9
    8.8
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Arlington, VA
    Twitter
    @StardogHQ
    4,000 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    96 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive busine

Users
No information available
Industries
No information available
Market Segment
  • 41% Small-Business
  • 29% Mid-Market
Stardog features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.8
9.2
Data Model
Average: 8.8
8.1
Data Types
Average: 8.9
8.8
Built - In Search
Average: 8.4
Seller Details
HQ Location
Arlington, VA
Twitter
@StardogHQ
4,000 Twitter followers
LinkedIn® Page
www.linkedin.com
96 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cayley features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cayley
    HQ Location
    N/A
    Twitter
    @cayleygraph
    734 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cayley is an open-source graph written in Go inspired by the graph database behind Freebase and Google's Knowledge Graph.

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 36% Mid-Market
Cayley features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Cayley
HQ Location
N/A
Twitter
@cayleygraph
734 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®