Neo4j Blog

"It was an aha moment. Integrating our solution with Neo4j allowed us to focus on the critical things we do well, visualization and interactivity," said Weidong Yang, CEO of Kineviz. San Francisco-based Kineviz believes that working with data is often more of an art than an engineering skill,... read more

One of Neo4j Desktop's most exciting new features is the incorporation of Graph Apps. Many of you are likely familiar with Graph Apps from using Neo4j's in-house visualization product, Neo4j Bloom. Inspired by Bloom, Kineviz created a Graph App deployment for our own platform: GraphXR. GraphXR:... 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... read more

I'm happy to publish this call for participation for Richard Müller, the researcher from the Leipzig University that I'm working with on graph-based software analytics, one of my favorite past-times. A joint paper on an open-source stack for this topic was accepted and presented by him at the... read more

This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics - football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how to analyse StackOverflow data using the... read more

"Literally within minutes or seconds, customers generate mobile device audiences at scale," said James Gray, Director of Product for Big Data at Phunware. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile experiences and reach mobile... read more