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How to Import Snowflake Data into SQL Server using SSIS


Easily back up Snowflake data to SQL Server using the SSIS components for Snowflake.

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for Snowflake inside of a SQL Server SSIS workflow to transfer Snowflake data into a Microsoft SQL Server database.

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Add the Components

To get started, add a new Snowflake source and SQL Server ADO.NET destination to a new data flow task.

Create a New Connection Manager

Follow the steps below to save Snowflake connection properties in a connection manager.

  1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. In the Connection Manager type menu, select Snowflake. The CData Snowflake Connection Manager is displayed.
  3. Configure connection properties.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.

    See the Getting Started guide in the CData driver documentation for more information.

Configure the Snowflake Source

Follow the steps below to specify the query to be used to extract Snowflake data.

  1. Double-click the Snowflake source to open the source component editor.
  2. In the Connection Manager menu, select the connection manager previously created.
  3. Specify the query to use for the data extraction. For example: SELECT Id, ProductName FROM Products
  4. Close the Snowflake Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the Snowflake data into.

  1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
  2. In the Data access mode menu, select "table or view".
  3. In the Table Or View menu, select the table or view to populate.
  4. Configure any properties you wish to on the Mappings screen.

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with Snowflake data.

Ready to get started?

Download a free trial of the Snowflake SSIS Component to get started:

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Learn more:

Snowflake Enterprise Data Warehouse Icon Snowflake SSIS Components

Powerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live Snowflake data through SSIS Workflows.

Use the Snowflake Data Flow Components to synchronize with Snowflake data warehouse. Perfect for data synchronization, local back-ups, workflow automation, and more!

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