Neo4j: The Leading Graph Database
Purpose-built to work with highly connected data, Neo4j delivers lightning‑fast performance and enables powerful, actionable insights.
Delivering lightning‑fast performance and enabling powerful, actionable insights.
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Graph Databases for Connected Data
Get started with O'Reilly's Graph Databases and discover how graph databases can help you manage and query highly connected data.Download Now
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Get Started Quickly with the Neo4j Sandbox
Start using Neo4j within seconds, with built-in guides and sample datasets for popular use cases. No Neo4j experience necessary.Try It Now
Native Graph Database
Experience the leading database engineered from top to bottom for connected data.Learn More
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New to Graphs?
From data modeling and drivers to scalability and Cypher queries, learn more about graph database development.
Neo4j for RDBMS Developers
Get an introduction to Neo4j with The Definitive Guide to Graph Databases for the RDBMS Developer.Get the Guide
The votes are in. This past June, national standards bodies around the world – belonging to ISO/IEC's Joint Technical Committee 1 (responsible for IT standards) – began voting on the GQL project proposal. Graph Query Language (GQL) is a new language being developed and maintained by the same ...Read More
Almost a decade ago, Neo4j took off as a transactional graph database management platform. Just a year after its initial launch, a new, powerful query language called Cypher was introduced to allow expressive, efficient querying and other interactions with the graph data in Neo4j. Today, Neo4j ...Read More
Like a complex system grid or an air-traffic-control map, a graph database is represented as a network of nodes and connections called a labeled property graph. The nodes, which appear as circles or squares, represent entities such as people, products, companies or orders. In Neo4j, the connections ...Read More