Connect Freightview to Snowflake
Send Freightview shipments, quotes and trackings to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema freightview
shipmentsquotestrackings
How to connect Freightview and Snowflake
4 steps. You can preview the Freightview data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Freightview
Enter your Freightview client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Freightview 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 Freightview 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 shipments and loads fresh Freightview data.
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Build your Freightview integrations with these destinations
Get the most of Freightview to Snowflake integration
Gather data
Understand data
Automate data
Act on data
3 data types, including Shipments, Quotes and Trackings.
With your Freightview client ID and client secret, entered once when you add the connection.
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 shipments on each run, while Replace swaps in a fresh copy. With Append, add new Freightview 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.
