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 ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping ...

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.

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.

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

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, ...

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

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 ...

Fluree is not a very straightforward product to get. To some extent, that goes for all data management systems. More so for graph databases. Even more so for blockchain-based systems. Fluree combines ...