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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
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Graph Algorithms in Neo4j: Shortest Path
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 betterRead More
Welcome to this week's #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael Hunger) from the YouTube archives for your viewing and listeningRead More
Venture capital has become an increasingly popular and often necessary source of financing for startups in today’s current business climate. Small companies that lack access to other common sources of capital, such as bank loans or debt funding, can get necessary financial backing from wealthyRead More