Graph databases use nodes, relationships and key-value pairs, the latter of which define linked data items using a unique identifier. In graph lingo, these are called nodes, edges and properties.

The fundamental building block of the Neo4j database is the knowledge graph. Eifrem explained that with a traditional relational database, an organization keeps all of its data in rows and tables.

Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and ...

Graph databases’ best applications, he said, appear where query processing across complex networks of relationships is vital. He cites MDM, transport logistics and data lineage as such examples.

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making. Written by George Anadiotis, Contributor March 5, 2018, 7:18 a ...

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.

Ranking 20 graph databases in March 2016, DB-Engines.com listed Neo4j, OrientDB, Titan, Virtuoso and ArangoDB as the top five. See relational database. THIS DEFINITION IS FOR PERSONAL USE ONLY.

Facebook has also built a graph database, called Tao, to map the connections across its 1.28 billion users. Social networks also seem to be a natural home for graph databases.