Google BigQuery and Google Drive integration

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

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How to connect Google BigQuery and Google Drive

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: 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.

Google BigQuery and Google Drive integration: Create a new workflow and add the first step

Step 2: Add and configure Google BigQuery and Google Drive nodes

You can find Google BigQuery and Google Drive in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google BigQuery and Google Drive nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google BigQuery and Google Drive integration: Add and configure Google BigQuery and Google Drive nodes

Step 3: Connect Google BigQuery and Google Drive

A connection establishes a link between Google BigQuery and Google Drive (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google BigQuery and Google Drive integration: Connect Google BigQuery and Google Drive

Step 4: Customize and extend your Google BigQuery and Google Drive integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google BigQuery and Google Drive with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google BigQuery and Google Drive integration: Customize and extend your Google BigQuery and Google Drive integration

Step 5: Test and activate your Google BigQuery and Google Drive workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google BigQuery to Google Drive or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google BigQuery and Google Drive integration: Test and activate your Google BigQuery and Google Drive workflow

Build your own Google BigQuery and Google Drive integration

Create custom Google BigQuery and Google Drive workflows 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.

Google BigQuery supported actions

Database

Execute Query

Execute a SQL query

Insert

Insert rows in a table

Google Drive supported actions

File
File/Folder
Folder
Shared Drive

Copy

Create a copy of an existing file

Create From Text

Create a file from a provided text

Delete

Permanently delete a file

Download

Download a file

Move

Move a file to another folder

Add sharing permissions to a file

Update

Update a file

Upload

Upload an existing file to Google Drive

Search or list files and folders

Create

Create a folder

Delete

Permanently delete a folder

Add sharing permissions to a folder

Create

Create a shared drive

Delete

Permanently delete a shared drive

Get

Get a shared drive

Get Many

Get the list of shared drives

Update

Update a shared drive

Google BigQuery and Google Drive integration details

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

Google Drive is a storage and synchronization service offered by Google. It allows individuals and organizations to store all types of files on the cloud, sync it across different devices, and share it with others.

Google Drive node docs + examples

Google Drive credential docs

See Google Drive integrations

Related categories

Data & Storage

Other integrations with Google BigQuery