Neo4j Blog

Last week, we officially released the 1.3 version of our Graph Data Science (GDS) library. I can’t believe 1.0 was only a few months ago, or how many new features and functionalities we’ve added into the last three releases! The GDS library now leverages Neo4j 4.0.1 and 4.1, and has... read more

Data is both our most valuable asset and our biggest ongoing challenge. As data grows in volume, variety and complexity, across applications, clouds and siloed systems, traditional ways of working with data no longer work. Increasingly, businesses are recognizing a need to harness all of... read more

Hi graph gang, In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript. Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection and Contact Tracing have in common, and... read more

"When do you use graph data science? When relationships matter. If there are no relationships among the things you're trying to predict, you probably don't need us, but odds are, there are," said The third use case is around targeted marketing. If I have a message that I want to communicate... read more

Retainment and reuse of institutional expertise is the holy grail of knowledge management. Over the years, enterprises have leveraged many generations of knowledge management products in order to retain and reuse knowledge across the enterprise, prevent re-inventing the wheel and improve... read more

Last week, Liberation Data launched the v2.x stream of Drivine. Drivine is a client library for Node.js and TypeScript. It is designed to support multiple graph databases, simultaneously if you wish, and to scale to hundreds or thousands of transactions per second. Drivine allows you to... read more