Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that ...

TigerGraph today announced that the latest release of its parallel graph database can be fully controlled with Kubernetes. With version 3.2, the company also added the ability to scale the database up ...