Cybersecurity researchers have disclosed nine cross-tenant vulnerabilities in Google Looker Studio that could have permitted attackers to run arbitrary SQL queries on victims' databases and exfiltrate ...

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 ...

Microsoft has announced that SQL Server Integration Services (SSIS) is now officially supported in the latest SQL Server Management Studio (SSMS) 22 Preview 3. This release is quite important for ...

Last month, Microsoft released a few updates for SQL Server Management Studio (SSMS) 21, while also revealing its plans for the next major release, SSMS 22. This follows the release of a SQL Server ...

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 ...

Microsoft has revealed some details about what's next for SQL Server Management Studio (SSMS). Customers should expect multiple SSMS releases soon. SQL Server Management Studio (SSMS) is the tool of ...

Microsoft SQL Server is a database management system that is mainly used store and retrieve requested data across a network. It’s purpose more closely aligns with software developers and not so much ...

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 ...

[!INCLUDE ssmanstudiofull-md] (SSMS) is a rich, integrated administrative client designed to meet the [!INCLUDE ssNoVersion] and Azure SQL Database administrator's server management requirements. In ...

At today's kickoff for Microsoft Ignite, the company announced that SQL Server 2025 is finally coming. No timing was announced for the release, but based on prior versions, I would expect to see a ...

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, ...