Connect Pipedrive to Snowflake
Send Pipedrive deals, leads, products and 8 more data types to Snowflake on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
Snowflake
schema pipedrive
dealsleadsproductsactivitiesusers- 6 more data types
How to connect Pipedrive and Snowflake
5 steps. You can preview the Pipedrive data in Coupler.io before anything reaches Snowflake.
Step 1 of 5
Connect Pipedrive
Sign in to Pipedrive and authorize Coupler.io. There's no API key to copy.
Sign in with Pipedrive
Step 2 of 5
Choose what to export
Pick the Pipedrive data you want in Snowflake.
Show 3 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Pipedrive export.
Step 4 of 5
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Pipedrive data.
Step 5 of 5
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 deals and loads fresh Pipedrive data.
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Build your Pipedrive integrations with these destinations
Get the most of Pipedrive to Snowflake integration
Gather data
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Act on data
11 data types, including Deals, Leads, Products, Activities and Users.
You sign in to Pipedrive and authorize Coupler.io. There's no API key to copy.
Yes. Filter by updated date to load the period you need.
Yes. Add filter conditions in the source settings to keep only the Pipedrive records 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 deals on each run, while Replace swaps in a fresh copy. With Append, add new Pipedrive 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 GoHighLevel or HubSpot, and join or append them before the data reaches Snowflake.
