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Domo Knowledge Base

Google BigQuery Writeback Connector

Version 4



Google BigQuery is a cloud-based big data analytics web service for processing very large read-only datasets. Use this connector to export your data from a Domo DataSet into a BigQuery table. To learn more about the BigQuery API, go to

You export data to BigQuery in the Data Center. This topic discusses the fields and menus that are specific to the BigQuery Writeback connector user interface. General information for adding DataSets, setting update schedules, and editing DataSet information is discussed in Adding a DataSet Using a Data Connector.


To configure this connector, you will need the following:

  • A Domo Client ID and Client Secret.

  • A Google Service Token JSON file. 

The following subsections explain in detail how to obtain the above credentials. 

Creating a Domo Client ID and Client Secret

To create a Domo client ID and client secret, do the following:

  1. Navigate to and log in.

  2. Click New Client (found under "My Account" in the top right corner).

  3. Create a new client with Application Scopes of Data and User.


    When you click Create, you will be redirected to the client ID and client secret.

  4. Copy the client ID and client secret, as you will need them soon.

Obtaining a Service Token JSON File

To obtain a Google Service Token JSON file, do the following:

  1. In the Google Developers Console, open the Credentials tab.

  2. Click Create credentials then select Service account.

    Cred-Service key.png

  3. Enter the Service account details.


4. Click Create.

5. Once your Service account is created, you can assign roles and permissions to this account.

6. In the Role dropdown, select Project > Owner.

7.  Instead of Project Owner, you can also add a custom role. If you would like to add a Custom Role, the following permissions are required.

Minimum permissions required for a Custom Role

  • bigquery.datasets.get
  • bigquery.tables.create
  • bigquery.tables.delete
  • bigquery.tables.updateData

8. In the Keys dropdown, select New Key

9. For the Key type, select JSON.


10. Click Create, then Save.

11. Select a safe location for the file, as you will need it soon.

Configuring the Connection

This section enumerates the options in the Credentials and Details panes in the Google BigQuery Writeback Connector page. The components of the other panes in this page, Scheduling and Name & Describe Your DataSet, are universal across most connector types and are discussed in greater length in Adding a DataSet Using a Data Connector.

Credentials Pane

This pane contains fields for entering credentials to connect to your Domo developer account as well as your destination table in BigQuery. The following table describes what is needed for each field:  



Domo Client ID

Paste the Domo client ID you copied in Step 4: Creating a Domo Client ID and Client Secret, in the "Prerequisites" section above.

Domo Client Secret

Paste the Domo client secret you copied in Step 4: Creating a Domo Client ID and Client Secret, in the "Prerequisites" section above.

Service Token JSON

Paste the JSON Service Token you generated in Step 3: Creating a Service Account, in the "Prerequisites," above.

Once you have entered valid credentials, you can use the same account any time you go to set up a new Domo-Google BigQuery connection. You can manage connector accounts in the Accounts tab in the Data Center. For more information about this tab, see Managing User Accounts for Connectors.

Details Pane

This pane contains a number of fields for specifying your data and indicating where it's going.



Input BigQuery Table Name

Enter the name of the BigQuery table you want to send Domo data to. The table you indicate will be deleted and recreated with each run. 

Input BigQuery DataSet Name

Enter the name of the BigQuery dataset in which the table is found. 

Input Domo DataSet ID

Enter the DataSet ID (GUID) for the DataSet you want to copy to a BigQuery table. You can find the ID by opening the details view for the DataSet in the Data Center and looking at the portion of the URL following datasources/. For example, in the URL, the DataSet ID is 845305d8-da3d-4107-a9d6-13ef3f86d4a4. 

Other Panes

For information about the remaining sections of the connector interface, including how to configure scheduling, retry, and update options, see Adding a DataSet Using a Data Connector.