By multi-model, Franz said its semantic graph database supports ingestion of different JSON documents as well as Resource Description Framework (RDF), or triplestore, data—another World Wide Web ...

The flexibility of the graph data model is a key factor driving the recent surge in graph database popularity. The same requirements for availability and massive scale that drove the development ...

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 ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

Graph Databases For Dummies, Neo4j Special Edition, a new book by Dr. Jim Webber, Neo4j Chief Scientist, and Rik Van Bruggen, Neo4j Regional Vice President, is all about getting started with graph ...

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models.

Companies traveling the long road to becoming data-driven organizations should take a close look at why Graph Databases are taking master data management to a new level.

RDF is a graph data model you've probably either never heard of, or already dismissed. Why is that, could there be value in it, and how does it differ from the most popular graph data model out there?

Graph is a data model that has long lingered on the fringe of mainstream adoption. One of those things that few had heard of, fewer really knew and fewer yet actually used. But that is rapidly ...

[Graph databases] are vastly more powerful for modeling how people work in networks, how people search for data and objects, how people communicate and build different types of relationships (peers, ...