your graph store
The logic layer is a secure server based on Node.js that offers high-level services on top of your graph data. The data layer supports multiple graph databases and search engines in parallel.
Deploy Linkurious Enterprise on a server. A web browser is all your end-users need to access the application. It is compatible with all modern OS and web browsers.
Install on premises
(requires Java 8).
Deploy in the cloud.
The server requires 8 to 16 GB of RAM, 4 to 8 CPU cores at 2.8+GHz, and 10 GB SSD space.
Linkurious scales beyond a billion nodes and relationships.
Get in touch for details
Use any modern browser.
Clients require 4 GB of RAM and 2 CPU cores at 1.6+GHz.
Neo4j 2.0+ is a graph database system developed by Neo Technology. Currently leader on the market, it supports the Cypher query language.
DataStax Enterprise Graph 5.0+ is a graph database built on top of Apache Cassandra that supports the Gremlin query language.
The JanusGraph database is optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.
AllegroGraph 5.0+ is a high-performance RDF graph database developed by Franz Incable. It supports the SPARQL query language.
Stardog is an enterprise knowledge graph platform that allows customers to query massive, disparate, heterogeneous data regardless of structure.
Linkurious is compatible with the security requirements of Fortune 500 companies and government agencies.
Connect with LDAP, Microsoft Active Directory, Azure AD, Google Apps and OpenIDConnect providers.
Configure end-to-end encryption for communications using SSL/TLS between client and server.
Setup access rights for groups of users at the entity-type level.
Enable security and simply share the interface link with your end-users to get started. They will directly access the application from their browser.
Provide a tailored user experience with the Linkurious SDK. You are free to add graph visualization and analysis to your applications the way you want.
Use a hyperlink from your application to open visualizations in Linkurious and start investigating entities and complex patterns.
One line of code is all you need to add graph visualization into your web applications using the Linkurious widget.
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Our team is here to provide you with more information, answer any question you may have and find the most effective solution for your needs.