Connect Delighted to Snowflake
Send Delighted people, unsubscribes, bounces and 1 more data type to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema delighted
peopleunsubscribesbouncessurvey_responses
How to connect Delighted and Snowflake
4 steps. You can preview the Delighted data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Delighted
Enter your Delighted delighted API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Delighted data you want in Snowflake.
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Delighted data.
Step 4 of 4
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 people and loads fresh Delighted data.
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Build your Delighted integrations with these destinations
Get the most of Delighted to Snowflake integration
Gather data
Understand data
Automate data
Act on data
4 data types, including People, Unsubscribes, Bounces and Survey responses.
With your Delighted delighted API key, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
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 people on each run, while Replace swaps in a fresh copy. With Append, add new Delighted 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 Typeform or Fillout, and join or append them before the data reaches Snowflake.
