Analysts say Redmond still has billions of reasons to keep backing its flagship DBMS, even as Azure, Postgres, and AI hog the ...
Microsoft shipped SQL Server Management Studio 22.7.0 on Wednesday, June 10, 2026, in what the team called one of the bigger point releases in the 22.x cycle. Database developers who have spent years ...
Microsoft has officially announced SQL Server Management Studio SSMS 22 Preview 5. And it comes with improvements and reliability updates for developers who use GitHub Copilot within SSMS. This update ...
A public preview of SQL Server 2025 adds new vector capabilities already found in rival databases, along with JSON support and change event streaming. Microsoft is moving SQL Server 2025 into public ...
At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...
Migrating from ASE Sybase 12 to MS SQL Server is a significant step that many organizations undertake to leverage modern database features and better support. However, this migration involves adapting ...
Admin Pack for SQL Server VSIX Microsoft/azuredatastudio A collection of popular database administration extensions to help manage SQL Server Database Administration Tool Extensions for Windows VSIX ...
The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...
After speaking at the European Fabric Community Conference last month, I followed it up with the Dataminds Connect event in Mechelen, Belgium, in early October. As a longtime conference speaker, I ...
Microsoft Fabric is an end-to-end suite of cloud-based tools for data analytics, encompassing data movement, data storage, data engineering, data integration, data science, real-time analytics, and ...
Microsoft Fabric is a cloud-based platform designed to unify the storage, management, and analysis of large-scale data solutions. Nevertheless, it is essential to acknowledge the distinction between ...
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