Domo and Google BigQuery connection

Save yourself the work of writing custom integrations for Domo and Google BigQuery and use n8n instead. Build adaptable and scalable Data & Storage, workflows that work with your technology stack. All within a building experience you will love.

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Ways to connect Domo and Google BigQuery

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Create your own Domo and Google BigQuery connection

Create custom Domo + Google BigQuery automations by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Supported methods for Domo

Delete

Get

Head

Options

Patch

Post

Put

To set up Domo integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Domo to query the data you need using the API endpoint URLs you provide.

See the example here

Requires additional credentials set up

Use n8n's HTTP Request node with a predefined or generic credential type to make custom API calls.

Google BigQuery supported actions

Domo and Google BigQuery connection details

Domo

Domo, Inc. creates software for businesses to access business intelligence tools and visually represent their data for better decision-making. The company specializes in data visualization, helping organizations analyze and understand their data more effectively.

Using generic authentication

See Domo integrations

Related categories

Data & Storage

Google BigQuery

Many businesses use the Google Cloud service BigQuery for data reporting. BigQuery is categorized as an Advanced Data Connector. The amount of data that needs to be processed could be quite large (up to 10,000 columns and tens of millions of rows).

Google BigQuery node docs + examples

Google BigQuery credential docs

See Google BigQuery integrations

Related categories

Data & Storage Development

Other integrations with Google BigQuery

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