Connect Redshift to PostgreSQL
Send Redshift table or view and custom SQL to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema redshift
table_or_viewcustom_sql
How to connect Redshift and PostgreSQL
4 steps. You can preview the Redshift data in Coupler.io before anything reaches PostgreSQL.
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 PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Redshift data.
Show 3 more fields Show fewer fields
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in table_or_view and loads fresh Redshift data.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your Redshift integrations with these destinations
Get the most of Redshift to PostgreSQL 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, if the database user has CREATE privileges. Coupler.io creates the redshift schema and the table_or_view table on the first 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 PostgreSQL.
