Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

With nearly 20 years of experience working with spatial and graph data in its flagship relational database, Oracle Corp. is taking that expertise and putting it into a new Big Data tool. Oracle Big ...

Graph databases explicitly express the connections between nodes, and are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. There has ...

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, ...

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...

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 ...

When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships between ...

As well as spinning off query language Cypher into its own open-source project, and a new deal with IBM over Power8 hardware, Neo Technology has also unveiled the latest version of its popular Neo4j ...

Oracle 1.0 was more about databases than device graphs. But as Oracle methodically built out a Marketing and Data Cloud, that changed. For the latter, marrying data management platform BlueKai with ...

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, ...