Neo4j Blog

Editor’s Note: This presentation was given by Jenny McLaughlin at GraphConnect New York City in September 2018. Presentation Summary Jenny McLaughlin is a senior platform architect at Pivotal. In this chat she discusses how developers are best able to deploy and operate their applications... read more

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