Connect Aha to BigQuery
Send Aha features streams, products streams, idea categories streams and 5 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset aha
features_streamsproducts_streamsidea_categories_streamsideas_streamsidea_endorsements_streams- 3 more data types
How to connect Aha and BigQuery
4 steps. You can preview the Aha data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Aha
Enter your Aha API key and instance URL. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Aha 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 Aha 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 features_streams with fresh Aha data.
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8 data types, including Features streams, Products streams, Idea categories streams, Ideas streams and Idea endorsements streams.
With your Aha API key and instance URL, 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 Aha 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 ClickUp or Airtable, and join or append them before the data reaches BigQuery.
