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 ...
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 ...
Neo4j, the premiere graph database development platform, announced the release of version 4.0 today, which features unlimited scaling among other updates. Graph databases are growing increasingly ...
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 ...
A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...
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