Abstract: Analyzing large data sets are challenging. Most data analytics research has proposed parallel algorithms that outside a DBMS because SQL is considered inadequate for complexity computations.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

AI-driven SQL tools now help teams explore data with natural language. Modern SQL platforms mix automation with real-time collaboration. Choosing the right tool depends on database support, price, and ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next. AI’s integration into our lives is ...

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

In announcing SQL Server Management Studio (SSMS) 21 Preview 1 this week, Microsoft revealed Copilot AI for the tool is also being previewed, privately. A Copilot for the tool that helps users manage, ...