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 ...

A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

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 ...

“Master Data Management innovators use graph databases to ask new questions and discover new answers within their existing data,” explained Emil Eifrem, CEO and co-founder of Neo Technology ...

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

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 ...

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph ...

When given access to multiple enterprise data stores, graph databases can offer entirely new insights and capabilities. Yu Xu is CEO of TigerGraph . Daily insights on business use cases with VB Daily ...

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 ...

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 ...