Connect BigQuery to Snowflake
Send BigQuery data to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema google_big_query
report
How to connect BigQuery and Snowflake
3 steps. You can preview the BigQuery data in Coupler.io before anything reaches Snowflake.
Step 1 of 3
Connect BigQuery
Add the BigQuery account you want to export from.
Connect BigQuery
Step 2 of 3
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the BigQuery data.
Step 3 of 3
Choose a write mode and schedule
Every run either replaces or appends the data in Snowflake. 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. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful 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 Snowflake.
