Best Graph Database Solutions - Page 3

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

Best Graph Databases At A Glance

Best for Small Businesses:
Best for Mid-Market:
Highest User Satisfaction:
Best Free Software:
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Highest User Satisfaction:
Best Free Software:

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.

No filters applied
66 Listings in Graph Databases Available
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    https://www.connectedpapers.com is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. It started as a weekend side project be

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Connected Papers features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

https://www.connectedpapers.com is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. It started as a weekend side project be

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Connected Papers features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.4
Seller Details
Year Founded
2019
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HGraphDB is a client layer for using HBase as a graph database. It is an implementation of the Apache TinkerPop 3 interfaces.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HGraphDB features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

HGraphDB is a client layer for using HBase as a graph database. It is an implementation of the Apache TinkerPop 3 interfaces.

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
HGraphDB features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
10.0
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.4
Seller Details
HQ Location
N/A

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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ArchiGraph is an ontology-based data management and data virtualization platform. It includes a collaborative ontology editor, a SHACL constraints and rules construction tool, and a middleware layer p

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ArchiGraph platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TriniData
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

ArchiGraph is an ontology-based data management and data virtualization platform. It includes a collaborative ontology editor, a SHACL constraints and rules construction tool, and a middleware layer p

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
ArchiGraph platform features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.4
Seller Details
Seller
TriniData
HQ Location
N/A
(2)4.8 out of 5
Save to My Lists
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BaseQL provides a dynamic GraphQL API for Airtable bases and Google Sheets. BaseQL is built for speed of development without the hassle of a managed database or complicated REST endpoints. It enable

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BaseQL features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BaseQL
    HQ Location
    Miami, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BaseQL provides a dynamic GraphQL API for Airtable bases and Google Sheets. BaseQL is built for speed of development without the hassle of a managed database or complicated REST endpoints. It enable

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
BaseQL features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.4
Seller Details
Seller
BaseQL
HQ Location
Miami, US
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.

    Ontotext GraphDB ™ allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. The database is the preferred choice of both small ind

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphDB features and usability ratings that predict user satisfaction
    10.0
    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
    Ontotext
    Year Founded
    2000
    HQ Location
    Sofia, Sofia
    Twitter
    @ontotext
    5,440 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    118 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ontotext GraphDB ™ allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. The database is the preferred choice of both small ind

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
GraphDB features and usability ratings that predict user satisfaction
10.0
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
Ontotext
Year Founded
2000
HQ Location
Sofia, Sofia
Twitter
@ontotext
5,440 Twitter followers
LinkedIn® Page
www.linkedin.com
118 employees on LinkedIn®
(2)3.8 out of 5
Save to My Lists
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gun features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Gun.io
    Year Founded
    2013
    HQ Location
    Nashville, TN
    Twitter
    @GUNdotIO
    9,097 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    91 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Gun features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Gun.io
Year Founded
2013
HQ Location
Nashville, TN
Twitter
@GUNdotIO
9,097 Twitter followers
LinkedIn® Page
www.linkedin.com
91 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HyperGraphDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Montreal, Canada
    Twitter
    @hypergraphdb
    20 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
HyperGraphDB features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
Montreal, Canada
Twitter
@hypergraphdb
20 Twitter followers
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the im

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Memgraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    London, GB
    Twitter
    @memgraphdb
    1,415 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the im

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Memgraph features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2016
HQ Location
London, GB
Twitter
@memgraphdb
1,415 Twitter followers
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A truly distributed, linear scalable, lightning-fast graph database.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NebulaGraph features and usability ratings that predict user satisfaction
    10.0
    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: 8.8
    10.0
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    VeSOFT
    Year Founded
    2018
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A truly distributed, linear scalable, lightning-fast graph database.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
NebulaGraph features and usability ratings that predict user satisfaction
10.0
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: 8.8
10.0
Built - In Search
Average: 8.4
Seller Details
Seller
VeSOFT
Year Founded
2018
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, lett

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RecallGraph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Data Model
    Average: 8.8
    7.5
    Data Types
    Average: 8.8
    7.5
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
Product Description
How are these determined?Information
This description is provided by the seller.

RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, lett

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
RecallGraph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
7.5
Data Model
Average: 8.8
7.5
Data Types
Average: 8.8
7.5
Built - In Search
Average: 8.4
Seller Details
(2)4.8 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Relay features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.5
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    7.5
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Relay
Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Relay features and usability ratings that predict user satisfaction
0.0
No information available
7.5
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
7.5
Built - In Search
Average: 8.4
Seller Details
Seller
Relay
(7)4.4 out of 5
Save to My Lists
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Timbr.ai merges the most advanced knowledge graph technology with the SQL ecosystem. Timbr helps some of the biggest companies in the world make faster, better decisions with their data modeled as a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Timbr 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
    SQL Support
    3
    Data Management
    2
    Features
    2
    Query Efficiency
    2
    Data Analysis
    1
    Cons
    Learning Curve
    3
    Training Deficiencies
    2
    Complex Usability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Timbr features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Timbr.ai
    Year Founded
    2018
    HQ Location
    Raanana , IL
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Timbr.ai merges the most advanced knowledge graph technology with the SQL ecosystem. Timbr helps some of the biggest companies in the world make faster, better decisions with their data modeled as a

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 29% Enterprise
Timbr 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
SQL Support
3
Data Management
2
Features
2
Query Efficiency
2
Data Analysis
1
Cons
Learning Curve
3
Training Deficiencies
2
Complex Usability
1
Timbr features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.4
Seller Details
Seller
Timbr.ai
Year Founded
2018
HQ Location
Raanana , IL
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    VelocityGraph extends the object-oriented database VelocityDB into a graph database.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VelocityGraph features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Data Model
    Average: 8.8
    7.5
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    Las Vegas, NV
    Twitter
    @VelocityDB
    68 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.

VelocityGraph extends the object-oriented database VelocityDB into a graph database.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
VelocityGraph features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Data Model
Average: 8.8
7.5
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.4
Seller Details
Year Founded
2011
HQ Location
Las Vegas, NV
Twitter
@VelocityDB
68 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.

    Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights across the enterprise. Solving your complex connected data problems at re

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AnzoGraph features and usability ratings that predict user satisfaction
    10.0
    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
    Year Founded
    2007
    HQ Location
    Boston, Massachusetts
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights across the enterprise. Solving your complex connected data problems at re

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
AnzoGraph features and usability ratings that predict user satisfaction
10.0
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
Year Founded
2007
HQ Location
Boston, Massachusetts
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache AGE® is a PostgreSQL extension that provides graph database functionality. The goal of Apache AGE® is to provide graph data processing and analytics capability to all relational databases. Th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache AGE features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    8.3
    Data Types
    Average: 8.8
    6.7
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Twitter
    @apache_age
    751 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Apache AGE® is a PostgreSQL extension that provides graph database functionality. The goal of Apache AGE® is to provide graph data processing and analytics capability to all relational databases. Th

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Apache AGE features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
8.3
Data Types
Average: 8.8
6.7
Built - In Search
Average: 8.4
Seller Details
Twitter
@apache_age
751 Twitter followers