Connect Partnerize to PostgreSQL
Send Partnerize countries, currencies, devices and 6 more data types to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema partnerize
countriescurrenciesdevicestimezonestraffic_sources- 4 more data types
How to connect Partnerize and PostgreSQL
4 steps. You can preview the Partnerize data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Partnerize
Enter your Partnerize user API key and application key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Partnerize data you want in PostgreSQL.
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Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Partnerize data.
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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 countries and loads fresh Partnerize data.
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9 data types, including Countries, Currencies, Devices, Timezones and Traffic sources.
With your Partnerize user API key and application key, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the partnerize schema and the countries table on the first run.
Yes. Append adds new rows to countries on each run, while Replace swaps in a fresh copy. With Append, add new Partnerize 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 Google Ads, and join or append them before the data reaches PostgreSQL.
