Download SQL Server Data Tools (SSDT) for Visual Studio

Applies to: SQL Server (all supported versions) Azure SQL Database Azure Synapse Analytics

SQL Server Data Tools (SSDT) is a modern development tool for building SQL Server relational databases, databases in Azure SQL, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. With SSDT, you can design and deploy any SQL Server content type with the same ease as you would develop an application in Visual Studio.

SSDT for Visual Studio 2022

Changes in SSDT for Visual Studio 2022

The core SSDT functionality to create database projects has remained integral to Visual Studio.

Note

There's no SSDT standalone installer for Visual Studio 2022.

Install SSDT with Visual Studio 2022

If Visual Studio 2022 is already installed, you can edit the list of workloads to include SSDT. If you don't have Visual Studio 2022 installed, then you can download and install Visual Studio 2022.

To modify the installed Visual Studio workloads to include SSDT, use the Visual Studio Installer.

  1. Launch the Visual Studio Installer. In the Windows Start menu, you can search for "installer".

    Visual Studio Installer in the Windows Start menu for 2022

  2. In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.

  3. Select SQL Server Data Tools under Data storage and processing in the list of workloads.

    Data storage and processing workload 2022

For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from within Visual Studio with Extensions > Manage Extensions or from the Marketplace.

Supported SQL versions

Project Templates SQL Platforms Supported
Relational databases SQL Server 2016 (13.x) - SQL Server 2022 (16.x)

Azure SQL Database, Managed Instance

Azure Synapse Analytics (dedicated pools only)
Analysis Services models

Reporting Services reports
SQL Server 2016 - SQL Server 2019
Integration Services packages SQL Server 2019 - SQL Server 2022

SSDT for Visual Studio 2019

Changes in SSDT for Visual Studio 2019

The core SSDT functionality to create database projects has remained integral to Visual Studio.

With Visual Studio 2019, the required functionality to enable Analysis Services, Integration Services, and Reporting Services projects has moved into the respective Visual Studio (VSIX) extensions only.

Note

There's no SSDT standalone installer for Visual Studio 2019.

Install SSDT with Visual Studio 2019

If Visual Studio 2019 is already installed, you can edit the list of workloads to include SSDT. If you don't have Visual Studio 2019 installed, then you can download and install Visual Studio 2019 Community.

To modify the installed Visual Studio workloads to include SSDT, use the Visual Studio Installer.

  1. Launch the Visual Studio Installer. In the Windows Start menu, you can search for "installer".

    Visual Studio Installer in the Windows Start menu for 2019

  2. In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.

  3. Select SQL Server Data Tools under Data storage and processing in the list of workloads.

    Data storage and processing workload 2019

For Analysis Services, Integration Services, or Reporting Services projects, you can install the appropriate extensions from within Visual Studio with Extensions > Manage Extensions or from the Marketplace.

Supported SQL versions

Project Templates SQL Platforms Supported
Relational databases SQL Server 2012 - SQL Server 2019

Azure SQL Database, Managed Instance

Azure Synapse Analytics (dedicated pools only)
Analysis Services models

Reporting Services reports
SQL Server 2008 - SQL Server 2019
Integration Services packages SQL Server 2012 - SQL Server 2019

Previous versions

To download and install SSDT for Visual Studio 2017, or an older version of SSDT, see Previous releases of SQL Server Data Tools (SSDT and SSDT-BI).

See Also

Next steps

After installing SSDT, work through these tutorials to learn how to create databases, packages, data models, and reports using SSDT.

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