Deploy SQL Server Integration Services packages to Azure

This tutorial provides steps for using the Azure portal to provision an Azure-SSIS integration runtime (IR) in Azure Data Factory. Then, you can use SQL Server Data Tools or SQL Server Management Studio to deploy SQL Server Integration Services (SSIS) packages to this runtime on Azure. For conceptual information on Azure-SSIS IRs, see Azure-SSIS integration runtime overview.

In this tutorial, you complete the following steps:

  • Create a data factory.
  • Provision an Azure-SSIS integration runtime.


This article applies to version 2 of Data Factory, which is currently in preview. If you are using version 1 of the Data Factory service, which is in general availability (GA), see the documentation for Data Factory version 1.


  • Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
  • Azure SQL Database server. If you don't already have a database server, create one in the Azure portal before you get started. Azure Data Factory creates the SSIS Catalog (SSISDB database) on this database server. We recommend that you create the database server in the same Azure region as the integration runtime. This configuration lets the integration runtime write execution logs to the SSISDB database without crossing Azure regions.
  • Confirm that the Allow access to Azure services setting is enabled for the database server. For more information, see Secure your Azure SQL database. To enable this setting by using PowerShell, see New-AzureRmSqlServerFirewallRule.
  • Add the IP address of the client machine, or a range of IP addresses that includes the IP address of client machine, to the client IP address list in the firewall settings for the database server. For more information, see Azure SQL Database server-level and database-level firewall rules.
  • Confirm that your Azure SQL Database server does not have an SSIS Catalog (SSISDB database). The provisioning of an Azure-SSIS IR does not support using an existing SSIS Catalog.


  • You can create a data factory of version 2 in the following regions: East US, East US 2, Southeast Asia, and West Europe.
  • You can create an Azure-SSIS IR in the following regions: East US, East US 2, Central US, West US 2, North Europe, West Europe, UK South, and Australia East.

Create a data factory

  1. Launch Microsoft Edge or Google Chrome web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
  2. Sign in to the Azure portal.
  3. Select New on the left menu, select Data + Analytics, and then select Data Factory.

    Data Factory selection in the "New" pane

  4. On the New data factory page, enter MyAzureSsisDataFactory under Name.

    "New data factory" page

    The name of the Azure data factory must be globally unique. If you receive the following error, change the name of the data factory (for example, <yourname>MyAzureSsisDataFactory) and try creating again. For naming rules for Data Factory artifacts, see the Data Factory - naming rules article.

    Data factory name “MyAzureSsisDataFactory” is not available

  5. For Subscription, select your Azure subscription in which you want to create the data factory.
  6. For Resource Group, do one of the following steps:

    • Select Use existing, and select an existing resource group from the list.
    • Select Create new, and enter the name of a resource group.

    To learn about resource groups, see Using resource groups to manage your Azure resources.

  7. For Version, select V2 (Preview).
  8. For Location, select the location for the data factory. The list shows only locations that are supported for the creation of data factories.
  9. Select Pin to dashboard.
  10. Select Create.
  11. On the dashboard, you see the following tile with the status Deploying data factory:

    "Deploying Data Factory" tile

  12. After the creation is complete, you see the Data factory page.

    Home page for the data factory

  13. Select Author & Monitor to open the Data Factory user interface (UI) on a separate tab.

Provision an Azure-SSIS integration runtime

  1. On the Let's get started page, select the Configure SSIS Integration Runtime tile.

    "Configure SSIS Integration Runtime" tile

  2. On the General Settings page of Integration Runtime Setup, complete the following steps:

    General settings

    a. For Name, specify a name for the integration runtime.

    b. For Location, select the location for the integration runtime. Only supported locations are displayed.

    c. For Node Size, select the size of the node that will be configured with the SSIS runtime.

    d. For Node Number, specify the number of nodes in the cluster.

    e. Select Next.

  3. On the SQL Settings page, complete the following steps:

    SQL settings

    a. For Subscription, specify the Azure subscription that has the Azure database server.

    b. For Catalog Database Server Endpoint, select your Azure database server.

    c. For Admin Username, enter the administrator username.

    d. For Admin Password, enter the password for the administrator.

    e. For Catalog Database Server Tier, select the service tier for the SSISDB database. The default value is Basic.

    f. Select Next.

  4. On the Advanced Settings page, select a value for Maximum Parallel Executions Per Node.

    Advanced settings

  5. This step is optional. If you have a virtual network (created through the classic deployment model or created through Azure Resource Manager) that you want the integration runtime to join, select the Select a VNet for your Azure-SSIS integration runtime to join and allow Azure services to configure VNet permissions/settings check box. Then complete the following steps:

    Advanced settings with a virtual network

    a. For Subscription, specify the subscription that has the virtual network.

    b. For VNet Name, select the name of the virtual network.

    c. For Subnet Name, select the name of the subnet in the virtual network.

  6. Select Finish to start the creation of the Azure-SSIS integration runtime.


    This process takes approximately 20 to minutes to complete.

    The Data Factory service connects to your Azure SQL database to prepare the SSIS Catalog (SSISDB database). The script also configures permissions and settings for your virtual network, if specified. And it joins the new instance of the Azure-SSIS integration runtime to the virtual network.

    When you provision an instance of an Azure-SSIS IR, the Azure Feature Pack for SSIS and the Access Redistributable are also installed. These components provide connectivity to Excel and Access files and to various Azure data sources, in addition to the data sources supported by the built-in components. You can also install additional components. For more info, see Custom setup for the Azure-SSIS integration runtime.

  7. On the Connections tab, switch to Integration Runtimes if needed. Select Refresh to refresh the status.

    Creation status, with "Refresh" button

  8. Use the links in the Actions column to stop/start, edit, or delete the integration runtime. Use the last link to view JSON code for the integration runtime. The edit and delete buttons are enabled only when the IR is stopped.

    Links in the "Actions" column

Create an Azure-SSIS integration runtime

  1. In the Azure Data Factory UI, switch to the Edit tab, select Connections, and then switch to the Integration Runtimes tab to view existing integration runtimes in your data factory. Selections for viewing existing IRs
  2. Select New to create an Azure-SSIS IR.

    Integration runtime via menu

  3. In the Integration Runtime Setup window, select Lift-and-shift existing SSIS packages to execute in Azure, and then select Next.

    Specify the type of integration runtime

  4. For the remaining steps to set up an Azure-SSIS IR, see the Provision an Azure-SSIS integration runtime section.

Deploy SSIS packages

Now, use SQL Server Data Tools or SQL Server Management Studio to deploy your SSIS packages to Azure. Connect to your Azure database server that hosts the SSIS Catalog (SSISDB database). The name of the Azure database server is in the format <servername> (for Azure SQL Database).

See the following articles from the SSIS documentation:

Next steps

In this tutorial, you learned how to:

  • Create a data factory.
  • Provision an Azure-SSIS integration runtime.

To learn about copying data from on-premises to the cloud, advance to the following tutorial: