Connect Google BigQuery and Typeform to unlock the power of automation

To authenticate your Google BigQuery account with Typeform, you must first create a new project and enable the BigQuery API. Then, navigate to your Typeform account settings and add a new integration. Choose Google BigQuery, where you'll be prompted to sign in with your Google credentials and grant permissions. Once authenticated, you can use triggers and actions in your workflows.

A common trigger for sending data from Typeform to Google BigQuery is the 'New Entry' trigger. This triggers when a new response is submitted on your Typeform form. Once activated, it automatically sends the new entry data to your specified table in BigQuery.

Currently, our integration allows you to insert new rows into a table in Google BigQuery with each new form response from Typeform but does not support updating existing rows directly from the responses.

Yes, when setting up the integration, you can create conditions or filters that determine which responses are sent to your BigQuery database. These filters allow you only to send specific entries based on certain criteria defined within your Typeform settings.

Data syncs between Typeform and Google BigQuery occur almost instantaneously upon triggering events like form submissions. The 'New Entry' trigger ensures that as soon as an entry is received in Typeform, it is sent immediately to the designated table in your BigQuery instance.

You can map various types of data collected through a Typeform survey—such as text responses, numbers, selection choices (e.g., multiple choice), dates—and link them to corresponding fields in your Google BigQuery database for seamless analysis.

While integrating with Google BigQuery through our platform handles connectivity functions smoothly, error handling mainly occurs within custom setups like verifying if the correct table schema matches incoming data structures. We recommend implementing additional checks via custom scripts when needed.