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 ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

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 ...

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

description Create a Hyperscale database in Azure SQL Database using the Azure portal, Transact-SQL, PowerShell, or the Azure CLI. To create databases via the Azure portal, PowerShell, Azure CLI, or ...

At today’s Ignite 2025 event, Microsoft announced one of the biggest Azure data updates in years. The company has announced the general availability of SQL Server 2025. That has come after a long ...

SQL Server Management Studio (SSMS) is the tool of choice for most developers when managing SQL Server and the relational data stored in it. Microsoft recently outlined plans for SSMS 22, currently in ...

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 ...

A repository for the practice exercises for Microsoft SQL Server Integration Service (SSIS for short, it is an ETL tool) while digging deep on understanding the tool and practicing. Exploratory Data ...

Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, cloud-ready stack for building observable, production ready, distributed, cloud-native ...

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, ...