Best Graph Database Solutions - Page 2

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
    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% Enterprise
  • 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: 8.8
    8.8
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Arlington, VA
    Twitter
    @StardogHQ
    4,096 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    81 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% Enterprise
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: 8.8
8.8
Built - In Search
Average: 8.4
Seller Details
HQ Location
Arlington, VA
Twitter
@StardogHQ
4,096 Twitter followers
LinkedIn® Page
www.linkedin.com
81 employees on LinkedIn®
(11)3.9 out of 5
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  • Overview
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  • 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
    745 Twitter followers
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
745 Twitter followers

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By IBM
(10)4.3 out of 5
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Entry Level Price:0.00 USD
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Graph is a fully managed property graph-as-a-service that enables you to store, query and visualize data points, connections and properties. Highly available Provides service that is always up an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Graph features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Data Model
    Average: 8.8
    7.2
    Data Types
    Average: 8.8
    7.8
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    710,979 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Graph is a fully managed property graph-as-a-service that enables you to store, query and visualize data points, connections and properties. Highly available Provides service that is always up an

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 30% Small-Business
IBM Graph features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Data Model
Average: 8.8
7.2
Data Types
Average: 8.8
7.8
Built - In Search
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,979 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
(8)4.1 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EdgeDB features and usability ratings that predict user satisfaction
    0.0
    No information available
    7.5
    Data Model
    Average: 8.8
    7.1
    Data Types
    Average: 8.8
    7.9
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EdgeDB
    Year Founded
    2019
    HQ Location
    Toronto, CA
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links.

Users
No information available
Industries
No information available
Market Segment
  • 63% Small-Business
  • 25% Mid-Market
EdgeDB features and usability ratings that predict user satisfaction
0.0
No information available
7.5
Data Model
Average: 8.8
7.1
Data Types
Average: 8.8
7.9
Built - In Search
Average: 8.4
Seller Details
Seller
EdgeDB
Year Founded
2019
HQ Location
Toronto, CA
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
(8)4.6 out of 5
View top Consulting Services for Oracle Spatial and Graph
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and lo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Spatial and Graph features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.0
    Data Model
    Average: 8.8
    9.0
    Data Types
    Average: 8.8
    9.0
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,470 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and lo

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Mid-Market
Oracle Spatial and Graph features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.0
Data Model
Average: 8.8
9.0
Data Types
Average: 8.8
9.0
Built - In Search
Average: 8.4
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,470 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 22% Enterprise
    • 17% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Cosmos DB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customization
    3
    Flexibility
    3
    Easy Integrations
    2
    Integrations
    2
    API Integration
    1
    Cons
    Cost Increase
    2
    Cost Issues
    2
    Expensive
    2
    Complex Usage
    1
    Difficult Learning
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    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
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,046,186 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 22% Enterprise
  • 17% Small-Business
Azure Cosmos DB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customization
3
Flexibility
3
Easy Integrations
2
Integrations
2
API Integration
1
Cons
Cost Increase
2
Cost Issues
2
Expensive
2
Complex Usage
1
Difficult Learning
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
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
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,046,186 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
(25)4.4 out of 5
Save to My Lists
Entry Level Price:0
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 64% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Fauna Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Scalability
    6
    Flexibility
    5
    Cost-Effective
    3
    Customer Support
    3
    Cons
    Difficult Learning
    4
    Poor Documentation
    3
    Complexity
    1
    Complex Setup
    1
    Cost Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fauna features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    9.2
    Data Types
    Average: 8.8
    9.2
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fauna
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @fauna
    95,384 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 64% Small-Business
  • 24% Mid-Market
Fauna Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Scalability
6
Flexibility
5
Cost-Effective
3
Customer Support
3
Cons
Difficult Learning
4
Poor Documentation
3
Complexity
1
Complex Setup
1
Cost Issues
1
Fauna features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
9.2
Data Types
Average: 8.8
9.2
Built - In Search
Average: 8.4
Seller Details
Seller
Fauna
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@fauna
95,384 Twitter followers
LinkedIn® Page
www.linkedin.com
46 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Ap

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • HugeGraph 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: 8.8
    8.9
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    HugeGraph
Product Description
How are these determined?Information
This description is provided by the seller.

HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Ap

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
HugeGraph 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: 8.8
8.9
Built - In Search
Average: 8.4
Seller Details
Seller
HugeGraph
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than al

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Small-Business
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RDFox 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
    7.8
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Oxford, GB
    Twitter
    @oxfordsemantic
    1,661 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than al

Users
No information available
Industries
No information available
Market Segment
  • 36% Small-Business
  • 29% Mid-Market
RDFox 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
7.8
Built - In Search
Average: 8.4
Seller Details
Year Founded
2017
HQ Location
Oxford, GB
Twitter
@oxfordsemantic
1,661 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ultipa Graph features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.6
    Data Model
    Average: 8.8
    9.6
    Data Types
    Average: 8.8
    9.6
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ultipa
    Year Founded
    2019
    HQ Location
    Pleasanton, US
    LinkedIn® Page
    www.linkedin.com
    61 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major d

Users
No information available
Industries
No information available
Market Segment
  • 40% Small-Business
  • 40% Mid-Market
Ultipa Graph features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.6
Data Model
Average: 8.8
9.6
Data Types
Average: 8.8
9.6
Built - In Search
Average: 8.4
Seller Details
Seller
Ultipa
Year Founded
2019
HQ Location
Pleasanton, US
LinkedIn® Page
www.linkedin.com
61 employees on LinkedIn®
(12)4.2 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • data.world Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Integrations
    3
    Data Discovery
    2
    Easy Integrations
    2
    User Interface
    2
    Cons
    Data Duplication
    1
    Data Inaccuracy
    1
    Data Quality
    1
    Learning Curve
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • data.world features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Data Model
    Average: 8.8
    9.4
    Data Types
    Average: 8.8
    8.9
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2016
    HQ Location
    Austin, Texas
    Twitter
    @datadotworld
    5,628 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    217 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 25% Mid-Market
data.world Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Integrations
3
Data Discovery
2
Easy Integrations
2
User Interface
2
Cons
Data Duplication
1
Data Inaccuracy
1
Data Quality
1
Learning Curve
1
Missing Features
1
data.world features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.9
Data Model
Average: 8.8
9.4
Data Types
Average: 8.8
8.9
Built - In Search
Average: 8.4
Seller Details
Company Website
Year Founded
2016
HQ Location
Austin, Texas
Twitter
@datadotworld
5,628 Twitter followers
LinkedIn® Page
www.linkedin.com
217 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FalkorDB features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Data Model
    Average: 8.8
    6.7
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    FalkorDB
Product Description
How are these determined?Information
This description is provided by the seller.

An ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
FalkorDB features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Data Model
Average: 8.8
6.7
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.4
Seller Details
Seller
FalkorDB
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Redis Software 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
    Speed
    4
    Ease of Use
    3
    Performance Analysis
    2
    Database Management
    1
    Data Storage
    1
    Cons
    Cloud Dependency
    1
    Complexity
    1
    Data Size Limitations
    1
    Lack of Features
    1
    Limited Chart Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Redis Software features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    Data Model
    Average: 8.8
    10.0
    Data Types
    Average: 8.8
    8.3
    Built - In Search
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Redis
    Year Founded
    2011
    HQ Location
    San Francisco, CA
    Twitter
    @Redisinc
    43,709 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,129 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 27% Mid-Market
Redis Software 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
Speed
4
Ease of Use
3
Performance Analysis
2
Database Management
1
Data Storage
1
Cons
Cloud Dependency
1
Complexity
1
Data Size Limitations
1
Lack of Features
1
Limited Chart Features
1
Redis Software features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.8
6.7
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
8.3
Built - In Search
Average: 8.4
Seller Details
Seller
Redis
Year Founded
2011
HQ Location
San Francisco, CA
Twitter
@Redisinc
43,709 Twitter followers
LinkedIn® Page
www.linkedin.com
1,129 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AllegroGraph 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
    Franz Inc
    Year Founded
    1984
    HQ Location
    Oakland, CA
    Twitter
    @Franzinc
    2,357 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
AllegroGraph 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
Franz Inc
Year Founded
1984
HQ Location
Oakland, CA
Twitter
@Franzinc
2,357 Twitter followers
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
(3)4.8 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bitsy features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    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
    Bitsy
    HQ Location
    Cottonwood Heights, UT
    Twitter
    @Bitbucket
    47,656 Twitter followers
Product Description
How are these determined?Information
This description is provided by the seller.

Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Bitsy features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Data Model
Average: 8.8
10.0
Data Types
Average: 8.8
10.0
Built - In Search
Average: 8.4
Seller Details
Seller
Bitsy
HQ Location
Cottonwood Heights, UT
Twitter
@Bitbucket
47,656 Twitter followers