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

Teradata just released a new type of SQL called SQL-GR, intended to make the graph analytics easy for enterprise users. According to a report by industry observer DB-Engines, “Graph DBMSs are ...

Graph database experts hope that better benchmarks could play a similar role in the evolution of graph databases. Ronald sees a need for more graph database benchmarks in verticals.

If you construct a graph properly, it is usually possible to answer questions that would be practically impossible to answer if the data was in an SQL database, or would take a hugely complex query.

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 ...

With SQL databases, all data has an inherent structure. A conventional database like Microsoft SQL Server, MySQL, PostgreSQL, or Oracle Database uses a schema—a formal definition of how data ...

This is a guest blogpost by Neo4j co-founder and CEO Emil Eifrem, who explains why his sector needs its own ‘General Query Language’. In the same way that SQL helped facilitate the growth and ...

These include updates to its Spanner SQL database, which now features graph and vector search support, as well as extended full-text search capabilities. This wouldn’t be a Google announcement ...

An SQL database might hold name, date of birth, address, etc, but analysing unstructured data – via making it semi-structured – can get closer to what consumers think.