Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

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, ...

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

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, ...

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 ...

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.

Neo4j has announced the general availability of the next generation of its namesake graph database for both community and enterprise users. Neo4j 5 widens the performance lead of native graphs over ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications. The Redwood City, California-based startup debuted the feature ...

Graph databases have proved their worth with the technology being used to analyse the Panama Papers. The recent data leak from the Panamanian law firm Mossack Fonseca has captured the imaginations of ...