Connect Supabase to BigQuery
Send Supabase table or view and custom SQL to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset supabase
table_or_viewcustom_sql
How to connect Supabase and BigQuery
4 steps. You can preview the Supabase data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Supabase
Enter your Supabase host, port, database, user and password. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Supabase data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Supabase data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites table_or_view with fresh Supabase data.
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Build your Supabase integrations with these destinations
Get the most of Supabase to BigQuery integration
Gather data
Understand data
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Act on data
2 report types, including Table or view and Custom SQL.
With your Supabase host, port, database, user and password, entered once when you add the connection.
Yes. SQL query lets you write a query instead of picking a ready-made report type.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Supabase data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example Google Sheets or Airtable, and join or append them before the data reaches BigQuery.
