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

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.

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 ...

TigerGraph’s ability to do SQL-like database computation along with ACID-compliant transactions benefits users with a lower TCO compared to other platforms. TigerGraph Cloud on Microsoft Azure ...

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 ...

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 ...

Facebook reaches Social Graph database benchmark: Facebook engineers discuss the development processes behind LinkBench, and how it’s being used at the world's largest social network today.