Connect BigQuery to PostgreSQL
Send BigQuery data to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema google_big_query
report
How to connect BigQuery and PostgreSQL
3 steps. You can preview the BigQuery data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 3
Connect BigQuery
Add the BigQuery account you want to export from.
Connect BigQuery
Step 2 of 3
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the BigQuery data.
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Step 3 of 3
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in report and loads fresh BigQuery data.
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Yes, if the database user has CREATE privileges. Coupler.io creates the google_big_query schema and the report table on the first run.
Yes. Append adds new rows to report on each run, while Replace swaps in a fresh copy. With Append, add new BigQuery columns to the table yourself before the next run.
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 PostgreSQL.
