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

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

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.

TigerGraph, provider of an ML and AI graph analytics platform, is releasing TigerGraph graph database v 3.9.3, introducing extended support for workload management, Kubernetes, and OpenCypher.

Aerospike, Inc. is debuting their new graph database, built to be developer-ready, real-time, and highly scalable. The launch of Aerospike Graph responds to the lack of graph database solutions that ...

Graph neural networks help to process and analyze complex graph-structured data, unlocking new possibilities across a wide range of applications.

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models.

The emergence of generative AI is fueling new demand for graph databases, which previously were used in somewhat niche applications like fraud detection. That’s good news for Neo4j, which holds the ...

With the rapid development of artificial intelligence (AI) technology, the graph database market is experiencing unprecedented growth, with an annual growth rate approaching 25%. Graph databases are ...

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 ...