Although databases that focus on the relational aspect of data analytics abound, few are as effective at revealing the hidden valuable insights as a graph database.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Shanghai, China, April 11, 2022 (GLOBE NEWSWIRE) -- Through continuous data mining and analysis for web 3 applications, Relation intends to launch its multi-chain social graph, which will provide ...

As it is a multi-model graph database management solution that combines the PostgreSQL-based relational database and graph database, AgensGraph delivers significant differentiators to its clients in ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. This evolution promises deeper insights and can facilitate a more ...

The benefits of graph databases go beyond mere query speed. Complex relational models no longer need to be hammered out in the usual, arduous manner because relationships can be modeled easily and ...

Of course, if your team has skills with relational or NoSQL databases, many of those platforms offer graph materialized views that allow you to run fairly simple graph queries that could handle ...

It's a misnomer, and as Jain pointed out, "GraphQL is as much a graph query language, as relational databases are about relationships." In other words, not very much, and this is by design.

New York, United States, Aug. 22, 2024 (GLOBE NEWSWIRE) -- As per the Latest Report by Straits Research, The global graph database market size was valued at USD 2.33 billion in 2023. It is ...

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.