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

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

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 ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

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.

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

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Redwood City, Calif.-based TigerGraph, which bills itself ...

Knowledge graphs are on the rise at enterprises that seek more effective ways to connect the dots between the data world and the business world. At Data Summit Connect, a free 3-day series of ...

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...