Download SQL Server Data Tools (SSDT) – SQL Server Data Tools (SSDT)
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In this article
Applies to:
SQL Server
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.
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Launch the Visual Studio Installer. In the Windows Start menu, you can search for “installer”.
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In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.
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Select SQL Server Data Tools under Data storage and processing in the list of workloads.
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, Azure SQL Managed Instance
Azure Synapse Analytics (dedicated pools only)
Analysis Services models
Reporting Services reports
SQL Server 2016 – SQL Server 2022
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.
-
Launch the Visual Studio Installer. In the Windows Start menu, you can search for “installer”.
-
In the installer, select for the edition of Visual Studio that you want to add SSDT to, and then choose Modify.
-
Select SQL Server Data Tools under Data storage and processing in the list of workloads.
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.
Offline Installation
For scenarios where offline installation is required, such as low bandwidth or isolated networks, SSDT is available for offline installation. Two approaches are available:
For more details you can follow the Step-by-Step Guidelines for Offline Installation
Supported SQL versions
Project Templates
SQL Platforms Supported
Relational databases
SQL Server 2012 – SQL Server 2019
Azure SQL Database, Azure SQL 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 installation of SSDT, work through these tutorials to learn how to create databases, packages, data models, and reports using SSDT.