Neo4j Blog

"If I take information from 50 of my relational databases, I can build an interesting graph and learn what makes some kids do better than others," said Forrest Swope, Manager of Data Operations, University of Virginia. In this week's five-minute interview (conducted at GraphTour DC 2019), we... read more

This post originally appeared on the Emil Eifrem blog on 6 November 2019. I am so thrilled to announce Neo4j AuraDB, the first fully managed native graph Database as a Service (DBaaS). Aura is an entirely new, built-from-the-ground-up, multi-tenant graph DBaaS based on Neo4j. It lets any... read more

Money launderers get smarter every day, which means organizations need the right tools to stay one step ahead of these nefarious parties. Graph technology helps you follow the money trail, identifying and tracking circular money transactions to get to the source of fraud. This infographic... read more

This week Wolfgang Hoeck teaches us how to build a knowledge graph from scratch, and we have new releases of the Graph Algorithms Library. Dr Alicia Frame is interviewed about Graphs, AI, and ML, Nathan Smith solves the market clearing price problem, and Chris Farrell released a tool for... read more

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Allison Wu, featured a great video series on Neo4j Bloom – the graph visualization tool that makes your data look straight-up... read more

We know that Apache Kafka® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. But what about when the relationships between items dominate... read more