Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

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.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

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

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 ...

Graph-powered machine learning and analytics are enabling unprecedented benefits, Victor Lee, head of product strategy and developer relations at TigerGraph, who cited Gartner's statement that 'Graph ...

Amazon is in the middle of its AWS Re:INVENT keynote right now, and the company just announced a brand new database service. Amazon Neptune has been ...