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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.
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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
Graph Technology Solutions
From fraud detection and real-time recommendations to network security and master data applications, Neo4j powers some of the most essential enterprise use cases for connected data.Explore Solutions
Connected Enterprises Powered by Neo4j
See for yourself how Neo4j customers use the world's leading graph database to power real-time intelligent applications.Read Case Studies
It's a common figure of speech: "Jack of all trades, master of none." The heart behind the phrase is that if you're trying to be good at everything, you normally end up being sort of mediocre at a large number of things and not being good at any one thing in particular. Software, technology and – youRead More
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series is designed to help you better utilizeRead More
The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other manufacturers, though Neo4j has not lost its leading position in theRead More