SQL Server, Microsoft's flagship operational database, has been around for over a quarter century now. That has meant successive waves of innovation for the platform, but has also made for ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

REDMOND, Wash. — Sept. 22, 2008 — New TPC-E performance benchmark results from the Transaction Processing Performance Council (TPC)1 rank Microsoft SQL Server 2008 No. 1 for price/performance2 on ...

Microsoft SQL Server 2008 builds on its predecessors in terms of its administration and management capabilities. Along with Visual Studio 2008 and Windows Server 2008, it also provides the robust data ...

The 2008 version of Microsoft SQL Server, a relational database management system that uses Transact-SQL as its primary query language, has finally hit the Release to Manufacturing (RTM) milestone.

REDMOND, Wash. — April 21, 2010 — Microsoft Corp. today announced the release to manufacturing of Microsoft SQL Server 2008 R2, the industry’s most complete information platform for managing, ...

Microsoft is announcing the release to manufacturing (RTM) of SQL Server 2008 R2 on April 21. In fact, the product actually RTM'd a week ago, about a week ahead of schedule, said Tom Casey, General ...

Customers now can download a fully-functional trial version for evaluation, and Microsoft is also making the software available to the Microsoft Developer Network and TechNet subscribers. With SQL ...

It's not 2008 anymore. Joey details the ins and outs of upgrading these aging Microsoft servers, including licensing changes, support options and potential pitfalls. It was a simpler time. A decade ...

SQL Server 2008, aka “Katmai,” gives SQL Server shops plenty of reasons to get excited. The best SQL Server release to date, it sports more nice new features than you can count, and the improvements ...

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 ...