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.

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 ...

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 ...

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 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 ...

SQL Server has supported VLDBs (very large databases) for some time now. Back in the SQL Server 2000 days, I recall hearing multi-terabyte databases were unusual but doable. Now, they are commonplace, ...

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 ...

Every business needs a well-designed database management tool. Finding a well-organized, functional system that allows your team to perform data-related tasks with ease is crucial to the success of ...

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 ...