SQL Server Management Studio (SSMS) version 22.5 is now available, bringing a mix of new features, usability improvements, and ongoing integration with AI tools. The update focuses on simplifying ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

SQL Server Management Studio (SSMS) is an integrated environment for managing any SQL infrastructure. Use SSMS to access, configure, manage, administer, and develop platforms that use the Microsoft ...

description Learn to design your first relational database in Azure SQL Database using the MSSQL extension for Visual Studio Code. For the purpose of this tutorial, we are using Azure SQL Database.

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 ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

Windows Server 2025 comes with great developments like Hotpatching for everyone, next-generation Active Directory and SMB, Mission Critical Data & Storage, Hyper-V & AI, etc. To get these features and ...

We take pride in delivering innovation with each new version of Microsoft SQL Server. However, there comes a time when product lifecycles must conclude. On July 14, 2026, SQL Server 2016 will reach ...

Discord now allows you to set up a 4-character tag that server members can choose to wear. The tag serves as an advertisement for your server, appearing beside their name. Anyone who clicks on it will ...

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 ...

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 ...