Connect Dwolla to Snowflake
Send Dwolla customers, funding sources, events and 2 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema dwolla
customersfunding_sourceseventsexchange_partnersbusiness_classifications
How to connect Dwolla and Snowflake
4 steps. You can preview the Dwolla data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Dwolla
Enter your Dwolla client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Dwolla 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 Dwolla 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 customers and loads fresh Dwolla data.
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Build your Dwolla integrations with these destinations
Get the most of Dwolla to Snowflake integration
Gather data
Understand data
Automate data
Act on data
5 data types, including Customers, Funding sources, Events, Exchange partners and Business classifications.
With your Dwolla client ID and client secret, 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 customers on each run, while Replace swaps in a fresh copy. With Append, add new Dwolla 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 QuickBooks or Xero, and join or append them before the data reaches Snowflake.
