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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.
What is the Graph Platform?
Neo4j Desktop, the developers’ mission control console
Neo4j 3.4 is faster & with new data types
Discovery & Visualization
Data Integration
Graph Analytics
Neo4j - The Fastest Path To Graph Success
What is Neo4j?
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 SolutionsConnected 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
Neo4j Blog
Decyphering Your Graph Model
Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language specific to your domain –
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Neo4j Blog
Graph Algorithms in Neo4j: Connected Data & Graph Analysis
Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are writing this blog series to help
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Neo4j Blog
Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate
"I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think," said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems and connections and dependencies between those systems. Overlay the business
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