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

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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 how to analyze the impact of a Twitter hashtag using Neo4j, Cypher, Python and JavaScript

Analyzing Twitter hashtag impact using Neo4j, Python & JavaScript

Learn how graph technology is helping the automotive industry via patedo for patent searches

Graph database

How graph technology helps the automotive industry to innovate with patedo

Learn how FactGem's Data Fabric solution empowers data integration across numerous data siloes

Graph database

A path to the graph: Data integration that begins without writing any code

Learn how GraphAware built 7VORTEX using graph technology to analyze biology systems

Graph database

7VORTEX: Systems thinking powered by graph technology

Neo4j life sciences & healthcare workshop – proceedings from Berlin

Learn why the distinction of native graph databases matters when it comes to connect data

Graph database

A note on native graph databases

Learn how data-driven decision making in retail helps your business overcome the challenge of Amazon

Amazon eating your lunch? What data-driven retailers can do about it [Community Post]

Learn from this initial test of the GraphQL command-line interface when used alongside Neo4j

GraphQL

1st steps with Graphcool’s GraphQL command-line interface [Community Post]

Rank provides a high-level graph algorithm

Graph algorithms: Make election data great again

Learn about how Neo4j is used for a 360-view of customer experience in the financial services sector

Financial services & Neo4j: 360-degree view of customer experience

Cypher & GQL

This week in Neo4j – 19 August 2017

Learn how to use Neo4j + GraphQL to analyze data from Game of Thrones and A Song of Ice and Fire

A game of data and GraphQL [Game of Thrones community post]