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 ...

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 ...

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 ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

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 ...

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 ...

Graphs, based on nodes and links, are another popular data model. Graphs are often used to store data structured as networks, such as social networks.

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 ...

“Most graph system growth has been around the property graph data model, not RDF,” Boncz said. As a result, the Social SNB aimed at property graph data has received considerably more attention ...