Neo4j Blog

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation Sandbox, Michael launched a GraphQL to Cypher transpiler for the JVM, and more! Featured Community Member: Joe Depeau This weeks featured... Read more →

The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to current the latest version (and also the developments of other manufacturers, though Neo4j has not lost its leading position in the market since then), the area of graph databases and graph-based systems has... Read more →

Just yesterday, I got to announce the addition of Denise Persson – CMO at Snowflake – to the Neo4j Board of Directors. Today, I get to announce another incredibly important executive appointment: Mike Asher has joined Neo4j as our inaugural chief financial officer (CFO). Since Mike works from our global headquarters in San Mateo, California, he and I recently got to sit down for an... Read more →

It is my pleasure to introduce the newest member of the Neo4j Board of Directors: Denise Persson. Denise is the Chief Marketing Officer at Snowflake Computing, one of the hottest companies in the data space – and like Neo4j, also based in San Mateo, California(!). Denise and I got to sit down after she joined the Neo4j board, and here's what we chatted about. For readers who... Read more →

Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That's because the definition of fun in Königsberg was to walk around the city's seven bridges and find a path that only crossed each bridge once. (This was before Netflix.) This isn't that complex of a problem, but the people in Königsberg also weren't that good at math. So they asked... Read more →

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 better leverage graph analytics and graph algorithms so you can effectively innovate and develop... Read more →