A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Unlike previous graph database products, it doesn’t use a SQL back-end. Neo4j is a native graph database that was engineered from the inside out to support large graph structures, ...

IBM releases Graph, a service that can outperform SQL databases by Dan Richman on July 27, 2016 at 3:25 pm July 27, 2016 at 3:25 pm Share 1 Tweet Share Reddit Email ...

Redwood City, Calif.-based TigerGraph, which bills itself as “the only scalable graph database for the enterprise,” on July 16 launched a version of its cloud product, TigerGraph Cloud, for ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more. ZDNet: When did you ...

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 ...

As a result of these efforts, Boncz expects the updated SQL:2023 standards to include graph query functionality (SQL/PGQ – Property Graph Query) and the release of an entirely new standard graph ...

At the recent Cloud Next conference in Tokyo, Google announced Spanner Graph, a managed feature that integrates graph, relational, search, and AI capabilities within Spanner. This new database support ...

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications.The Redwood City, California-based startup debuted the featu ...

Graph databases use graph structures for semantic queries, providing a more flexible and efficient way to manage relationships between data.