Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

The Global Graph Database Market size is expected to reach $8.1 billion by 2028, ... Graph databases are identical to conventional network model databases and also represent general graphs, ...

Graph databases like this shouldn’t be confused with the Microsoft Graph. It uses a node model for queries, but it doesn’t use it to infer relationships between nodes.

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 ...

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 ...

By switching the fraud detection application to a graph database, the value of a machine learning model can be added to the approve or reject decision while still meeting the real-time response ...

The real value comes when graph databases and knowledge graphs are integrated, said Gnau. “In a multi-model platform, graph and semantic modeling capabilities work together to provide both structure ...

Aerospike Multi-model Database. Aerospike makes it easy to launch in the cloud and choose the right data model for the job-whether document, graph, key-value, or vector search-all within a single, ...