Neo4j Blog

The graph data model is inherently visual. Try explaining a graph to someone new. You’ll inevitably draw a picture, or wave your hands around to convey what you mean by ‘nodes… links…. and more nodes’. People think in graphs, and they interpret graph intelligence visually. That’s what... read more

Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete, retailers need a new approach –... read more

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have new about running Cypher on Apache Spark, an introduction to APOC, and user path analysis using Neo4j. Featured Community Member: Rik Van... read more

The Neo4j Developer Relations team is tasked with making sure developers can build applications backed by Neo4j using their favorite technologies. One technology we’ve been really excited about recently is GraphQL. GraphQL is a relatively new paradigm for building APIs. You can learn more... read more

In case you missed it at GraphConnect New York: The Neo4j team has announced the public alpha release of Cypher for Apache Spark™. We’ve been building Cypher for Apache Spark for over a year now and have donated it to the openCypher project under an Apache 2.0 license, allowing for external... read more

As part of the Neo4j Graph Platform announced at GraphConnect New York last week, we are excited to announce the general availability release of the Neo4j Graph Database version 3.3. At the heart of the Graph Platform is the native graph database itself, which has a number of release-defining... read more