Integrate Google Cloud Storage Data into Power Automate Desktop using CData Connect

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CData Connect



CData Connect for Google Cloud Storage enables you to integrate Google Cloud Storage data into workflows built using Microsoft Power Automate Desktop.

CData Connect enables you to access live Google Cloud Storage data in workflow automation tools like Power Automate. This article shows how to integrate Google Cloud Storage data into a simple workflow, moving Google Cloud Storage data into a CSV file.

CData Connect provides a pure SQL interface for Google Cloud Storage, allowing you to easily integrate with live Google Cloud Storage data in Power Automate — without replicating the data. Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Google Cloud Storage, leveraging server-side processing to quickly return Google Cloud Storage data.

Create a Virtual SQL Database for Google Cloud Storage Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Google Cloud Storage" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Google Cloud Storage.

    Authenticate with a User Account

    You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

    When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

    You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

    • InitiateOAuth: Set this to GETANDREFRESH.
    • OAuthJWTCertType: Set this to "PFXFILE".
    • OAuthJWTCert: Set this to the path to the .p12 file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .p12 file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
    • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
    • ProjectId: Set this to the Id of the project you want to connect to.

    The OAuth flow for a service account then completes.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Integrate Google Cloud Storage Data into Power Automate Workflows

After configuring CData Connect with Google Cloud Storage, you are ready to integrate Google Cloud Storage data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

In the flow editor, you can add the actions to connect to Google Cloud Storage, query Google Cloud Storage using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Actions -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:

  1. On the Provider tab: select Microsoft OLE DB Driver for SQL Server
  2. On the Connection tab:
    1. Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g. localhost,8033)
    2. Enter information to log onto the server: select "Use a specific username and password" and use CData Connect credentials
    3. Select the database: use the database configured above (e.g. GoogleCloudStorage1)
  3. Click "Test Connection" to ensure the connection is configured properly
  4. Click "OK"

After building the connection string in the Data Link Properties wizard, save the action.

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.

  • Get connection by: SQL connection variable
  • SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
  • SQL statement: SELECT * FROM Buckets

After configuring the properties, save the action.

Add a Write to CSV File Action

Add a "Write to CSV file" action (Actions -> File) and configure the properties.

  • Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
  • File path: set to a file on disk
  • Configure Advanced settings as needed.

After configuring the properties, save the action.

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Actions -> Database) and configure the properties.

  • SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the properties, save the action.

Save & Run the Flow

Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

Now you have a workflow to move Google Cloud Storage data into a CSV file.

With CData Connect, you get live connectivity to Google Cloud Storage data within your Microsoft Power Automate workflows.

Related Power Automate Articles

This article walks through using CData Connect Cloud with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):