Best Graph Database Solutions - Page 5

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

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66 Listings in Graph Databases Available
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    Relay is designed for high performance at any scale. Relay keeps management of data-fetching easy, whether your app has tens, hundreds, or thousands of components. And thanks to Relay’s incremental co

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    Relay.dev
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Relay is designed for high performance at any scale. Relay keeps management of data-fetching easy, whether your app has tens, hundreds, or thousands of components. And thanks to Relay’s incremental co

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Relay.dev
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    Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

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    • 100% Mid-Market
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    HQ Location
    Barcelona, Spain
    Twitter
    @SparsityTech
    886 Twitter followers
Product Description
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Sparksee (formerly known as DEX) is a graph database that makes space and performance compatible with a small footprint and a fast analysis of large networks.

Users
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Market Segment
  • 100% Mid-Market
Sparksee features and usability ratings that predict user satisfaction
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HQ Location
Barcelona, Spain
Twitter
@SparsityTech
886 Twitter followers

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    Year Founded
    1988
    HQ Location
    San Jose, CA
    Twitter
    @objectivitydb
    2,638 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
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Year Founded
1988
HQ Location
San Jose, CA
Twitter
@objectivitydb
2,638 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
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    Vaticle is a team of people driven by a purpose: to solve the world's most complex problems, through knowledge engineering. We are the inventors of the Grakn knowledge-base and the Graql query languag

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    vaticle
    Twitter
    @GraknLabs
    17 Twitter followers
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Vaticle is a team of people driven by a purpose: to solve the world's most complex problems, through knowledge engineering. We are the inventors of the Grakn knowledge-base and the Graql query languag

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vaticle
Twitter
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    Vertex is a high performance graph database that supports automatic garbage collection, built on libevent and tokyocabinet.

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    Vertexdb
    HQ Location
    Newcastle Upon Tyne,
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Vertex is a high performance graph database that supports automatic garbage collection, built on libevent and tokyocabinet.

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Vertexdb
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Newcastle Upon Tyne,
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    xtendr facilitates secure data sharing and collaboration between teams, departments, and organisations - generating powerful insights without ever compromising on privacy.
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    xtendr
    Year Founded
    2019
    HQ Location
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    LinkedIn® Page
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xtendr facilitates secure data sharing and collaboration between teams, departments, and organisations - generating powerful insights without ever compromising on privacy.
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