Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

Learn Why Your Next Developer Side Project Should Involve Building a Graph with Neo4j

Graph database

Why you should build a Neo4j graph as a side project

Learn All about the Schedule of Lightning Talks Featured at GraphConnect San Francisco

Graph database

From MongoDB to Docker and more: GraphConnect lightning talks are here

Learn All about the Official General Availability Release of Spring Data Neo4j 4.0

News

Announcing the GA release of Spring Data Neo4j 4.0

Learn How CyGraph Improves Cybersecurity Situational Awareness to Be More Scalable and Flexible

CyGraph: Cybersecurity situational awareness that’s more scalable, flexible & comprehensive

Graph Visualization with Linkurious Enterprise V1

Graph visualization

Graph visualization for everyone: Linkurious Enterprise V1

Learn All about KeyLines Geospatial in This GraphConnect San Francisco Preview

Graph visualization

KeyLines geospatial is leaving beta! See the first demo here

Learn More about the Graph Visualization Capabilities of Tom Sawyer Perspectives

The future of graph visualization: An interview with Tom Sawyer Software

Learn What’s New in Structr 2.0 for Faster, More Flexible Application Development

Graph database

Introducing Structr 2.0: Faster, more flexible app development

Learn Why Production-Grade Neo4j Hosting Matters More Than You Think – From One Graphista to Another

Graph database

Why production-grade Neo4j hosting matters – From one Graphista to another

Learn How the Future of Real-Time Recommendation Engines Merges with Graph-Aided Search

Real-time recommendations

The Future of Recommendation Engines: Graph-Aided Search

See How We Used Graph Structure Record Linkage to Extract Insights on Irish Census Data with Neo4j

Using graph structure record linkage on Irish census data with Neo4j

Learn How the Sensis Dev Team Experienced a Real-World Performance Increase with a Neo4j Graph Model

Neo4j: Real-world performance experience with a graph model