TigerGraph customers have traditionally written their graph queries using GSQL, a graph-specific variant of SQL. With the new release, TigerGraph is supporting OpenCypher, a graph query language based ...

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

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 ...

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 ...

The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.

With today’s updates to its managed graph database for the cloud, Neo4j AuraDB, the San Mateo, California-based company is working to make it easier for users to get started with its graph database.

Like so many database vendors, the first step here for Google is adding graph capabilities to Spanner, using the emerging GraphQL standard.

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