A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

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 ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

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 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 ...

Fluree has extended this to 6-tuples, enabling it, among other things, to support the property graph data model. Another option for open source fans. Fluree represents an interesting offering.

But, the killer application of graph is rapid large-scale data integration. Here’s a proven process for realizing the promise of the graph data model, specifically using W3C, RDF and OWL. Zippy Data ...

Numbers Station, a startup that is using large language models (LLMs) to power its data analytics platform, is launching its first cloud-based product ... “There’s a lot of data modeling, ...

The introduction of the graph database will also see the graph model added to Aerospike’s real-time data platform which already supports key value and document models. Last year, the company ...