Connect Merge to Snowflake
Send Merge activities, users, account details and 11 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema merge
activitiesusersaccount_detailsapplicationsattachments- 9 more data types
How to connect Merge and Snowflake
4 steps. You can preview the Merge data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Merge
Enter your Merge account token and API token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Merge data you want in Snowflake.
Show 6 more data types Show fewer data types
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Merge 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 activities and loads fresh Merge data.
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14 data types, including Activities, Users, Account details, Applications and Attachments.
With your Merge account token and API token, 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 activities on each run, while Replace swaps in a fresh copy. With Append, add new Merge 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 100ms or Amazon Seller Central, and join or append them before the data reaches Snowflake.
