The venerable relational database management system is now feature-complete, with support for Linux and containers running on Linux and Mac OS X, and it's available as a release candidate this week.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward.

The next-generation edition of Microsoft's flagship relational database system, SQL Server 2017, took a step closer to general availability with this week's launch of the first Release Candidate ...

Microsoft has dropped its "Denali" code name and now calls its next-generation relational database management system "SQL Server 2012." The company also explained at the SQL PASS Summit being held in ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

In the beginning, there were files. Later there were navigational databases based on structured files. Then there were IMS and CODASYL, and around 40 years ago we had some of the first relational ...

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 ...

SQL Server isn't on the kind of update schedule that characterizes Visual Studio these days, when it's unusual for two months to go by without some sort of release. But one version is getting a new ...

At the second day of the SQL PASS Summit in Seattle, Microsoft announcing a new SQL Azure release as well as some completely new features. Microsoft indicated the improvements planned for the next ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...