Integration of Python for data science, graph processing for NoSQL-like functionality, and it runs on Linux as well as Windows. At almost 30 years of age, Microsoft's flagship database has learned ...

Interoperability between GQL and SQL. Spanner Graph or Spanner in general, according to Google’s vice president of engineering for databases, Andi Gutmans, will now support the graph query ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

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

In the world of relational databases, SQL (structured query language) has been the dominant standard for years. It defines a way to search for the rows in a table that match specific criteria.

Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

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 ...

Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations.