Connect Metabase to BigQuery
Send Metabase users, cards, collections and 4 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset metabase
userscardscollectionsdashboardsdatabases- 2 more data types
How to connect Metabase and BigQuery
4 steps. You can preview the Metabase data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Metabase
Enter your Metabase metabase instance API URL and API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Metabase 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 Metabase 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 users with fresh Metabase data.
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7 data types, including Users, Cards, Collections, Dashboards and Databases.
With your Metabase metabase instance API URL and API key, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Metabase 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 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
