Connect Google Bigquery and Paddle
Integrate Google Bigquery with Paddle to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Popular Google Bigquery + Paddle flows
Start from a real workflow other teams are already running.
Choose a trigger
Google Bigquery
When this happens...
- Request a new Trigger for Google Bigquery
Choose an action
Paddle
Automatically do this!
Create Customer
Update Customer
Generate Customer Authentication Token
Create an Address
Update an Address
Create a Business
Create a Price
Search Product Price
Search Events
Search Customer
Search Products
Create a Discount
Search Discount
Update Discount
Search Price
Create a Discount Group
Update a Price
Update a Product
Update a Business
Delete Rows from Google BigQuery when New Customer in Paddle
Use this flowRun SQL Query in Google BigQuery when New Customer in Paddle
Use this flowInsert Rows into Google BigQuery when New Customer in Paddle
Use this flowUpdate Rows in Google BigQuery when New Customer in Paddle
Use this flowCreate Table in Google BigQuery when New Customer in Paddle
Use this flowList BigQuery Projects in Google BigQuery when New Customer in Paddle
Use this flowList Datasets in Project in Google BigQuery when New Customer in Paddle
Use this flowList Tables In Dataset in Google BigQuery when New Customer in Paddle
Use this flowDelete Rows from Google BigQuery when New Address in Paddle
Use this flowRun SQL Query in Google BigQuery when New Address in Paddle
Use this flowSupported Triggers & Actions
Everything you can automate between Google Bigquery and Paddle.
When this happensTriggers
A trigger is an event that starts a workflow.
New Customer
Detects and returns customers newly created in Paddle since the last check (defaults to the past 15 minutes), ordered newest first.
New Address
Trigger when a new address is added for the selected Paddle customer. Returns addresses created since the last check.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows in a Google BigQuery table that match the condition you provide.
Run SQL Query
Run a SQL query on Google BigQuery and return the results.
Insert Rows
Adds one or more rows to a BigQuery table.
Update Rows
Change specific fields for rows in a BigQuery table that match the rules you provide.
Create Table
Creates a new, empty table in a BigQuery dataset.
List BigQuery Projects
Lists the BigQuery projects you have access to.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn moreAbout Paddle
Paddle is a comprehensive commerce platform designed to help software companies manage their billing, subscription, and payment processes. It offers a range of tools to streamline revenue operations, including payment processing, tax compliance, and customer management, making it easier for businesses to scale globally.
Learn moreSimilar apps
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Google Bigquery and Paddle accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Google Bigquery and Paddle as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Paddle. No coding required.
Yes. You can set up a workflow where Google Bigquery triggers actions in Paddle, and a separate workflow where Paddle triggers actions in Google Bigquery. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Google Bigquery and Paddle. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Google Bigquery and Paddle integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
