Like other NoSQL databases, a graph database is schema-less. Thus, in terms of performance and flexibility, graph databases hew closer to document databases or key-value stores than they do ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. Now business analysts are confronted with the need to better ...

Some graph databases require you to define a schema for your graph—i.e. defining labels or names for your vertices, edges, and properties prior to populating any data—while other databases ...

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.

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 ...

We had a chance to speak with TigerGraph's incoming head of product R&D, and it spurred some thoughts on where we thought graph databases should go.

Dgraph Labs, the startup behind the popular eponymous graph database, today announced the launch of its Slash GraphQL service. Slash GraphQL is a fully ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...