Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts.

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

With today’s updates to its managed graph database for the cloud, Neo4j AuraDB, the San Mateo, California-based company is working to make it easier for users to get started with its graph database.

Neo4j, the company behind the open source graph database, has launched a completely free version of its fully-managed cloud service.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

NebulaGraph, an open source database created by Hangzhou, China-based company Vesoft, announced it has raised an undisclosed amount totaling tens of millions of dollars in a Series A funding round.

ArangoDB, the commercial open source company behind the graph database system of the same name, has raised $27.8 million.

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...

Master Data Management is a practice adopted when a company really gets serious about making use of its data. Based on recent trends and some emerging analyst research, it seems that when ...

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.