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 ...

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

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 ...

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.

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

How to Create a Table From Query Results in Microsoft SQL. If your business uses relational databases to store data, you may have used a SQL SELECT clause to create new tables from query results.

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 ...

Today's fastest graph database with the smallest memory footprint is RedisGraph. Its efficiency and query simplification enable applications to rapidly collect, process and analyze complex, connected ...

In the past, natural language processing advocates have called for new methods that do away with SQL’s standardized and clunky approach. However, these attempts have ended up with methods that ...