A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb.

For instance, where a plain graph database knows there is an interrelationship between a person node in silo A and an organization node in silo B, a knowledge graph also understands the nature of that ...

Siren, the all-in-one investigation company, is adopting Graph Query Language (GQL), the ISO-standard query language for graphs, made public in 2024—enabling Siren to become the first investigative ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

You may have heard about the social graph and the interest graph, but what about the health graph? Thanks to RunKeeper, this term may soon become an oft-used part of your vocabulary. RunKeeper ...

It involves understanding metadata knowledge graphs and how different layers of the modern data stack come together. If one wants to do anything with data, they need a stack of tools to get it done.