Connect Redshift to Snowflake
Send Redshift table or view and custom SQL to Snowflake on a schedule. Refresh as often as every 15 minutes.
Snowflake
schema redshift
table_or_viewcustom_sql
How to connect Redshift and Snowflake
4 steps. You can preview the Redshift data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Redshift
Add the Redshift account you want to export from.
Connect Redshift
Step 2 of 4
Choose what to export
Pick the Redshift 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 Redshift 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 table_or_view and loads fresh Redshift data.
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Build your Redshift integrations with these destinations
Get the most of Redshift to Snowflake integration
Gather data
Understand data
Automate data
Act on data
2 report types, including Table or view and Custom SQL.
Yes. SQL query lets you write a query instead of picking a ready-made report type.
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 table_or_view on each run, while Replace swaps in a fresh copy. With Append, add new Redshift 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 Google Sheets or Airtable, and join or append them before the data reaches Snowflake.
