Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...

TigerGraph Inc. is bringing its graph database to the cloud in announcement being made today at Amazon Web Services Inc.’s re:Invent conference. The company, which launched a little over a year ago ...

Most enterprise software has a contingent of zealots, people so steeped in the technology that they are convinced it is the be-all and end-all, or those who have taken so many certification exams that ...

SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

This week, graph database provider TigerGraph announced version 3.2 of its key product. The release is aimed at boosting performance — especially for larger datasets — while broadening accessibility ...

Layering a graph database offers a platform for processing the more complex relationships with other data sources and ultimately increases an organization’s ability to tailor its media to its ...

After showing it off last year at AWS re:Invent 2017, Amazon Web Services announced Wednesday that its new cloud graph database, Amazon Neptune, is ready for the general public to take it for a spin.

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

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

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...