For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

Everything in a graph database is connected to everything else, thus data is able to be summoned much faster than from a conventional structured database.

Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

Panama Papers graphically demonstrate the power of the graph database Data-mining technology is thrown into the spotlight thanks to the tale of 11.5 million files.

Knowledge Graphs are quickly being adopted because they have the advantages of linking and analyzing vast amounts of interconnected data. The promise of graph technology has been there for a decade.

The big data revolution is generating a mess of unruly data that’s difficult to parse and understand. This is to be expected–explosions don’t generally occur in a nice, orderly fashion, after all. But ...

TigerGraph, a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round.