Visual Studio Data — Tools !full!

SQL Server Data Tools (SSDT) in Visual Studio 2026/2022 is a powerful developer suite for building, testing, and deploying SQL databases. Rather than working in a separate management environment, SSDT integrates database development directly into your application lifecycle with full support for source control and CI/CD pipelines. SQL Server Data Tools for Visual Studio

Related * FULL sql version-control using Team Foundation Server. * VS 2013 + Git + Visual Studio Online + multiple Repos in one pr... Stack Overflow source control and buld errors around aliases SQL71561 * Cris Zhan-MSFT. 6,676. 21 Apr 2021, 3:17 am. Hi, >Is the only solution here to export the entire linked server as a DACPAC file ... Microsoft Learn sql server - Visual Studio Data Tools (SSDT) schema comparison ... Jun 8, 2021 — visual studio data tools

The latest version of Visual Studio brings significant updates to the data toolset: Install SQL Server Data Tools (SSDT) for Visual Studio SQL Server Data Tools (SSDT) in Visual Studio

This is a powerful utility that compares two database schemas (e.g., a Project vs. a Live Database, or Database A vs. Database B). * VS 2013 + Git + Visual Studio

A common point of confusion is the difference between these two Microsoft tools.

At its core, Visual Studio Data Tools provides an end-to-end workflow for data professionals and developers alike. The centerpiece of this ecosystem is . SSDT transforms database development into a first-class citizen within the Visual Studio environment. Traditionally, database changes were made directly on production or staging servers, a practice prone to error, data loss, and difficult rollbacks. SSDT introduces an offline database model using a project system. Developers define their entire database schema—tables, views, stored procedures, functions, and even static data—as script files in a project. This model brings the full power of source control (e.g., Git), unit testing, and automated builds to database development. Using schema comparisons, developers can generate precise deployment scripts to update any target database without losing existing data, enabling continuous integration and delivery (CI/CD) pipelines for the data tier.