Connect Eventzilla to PostgreSQL
Send Eventzilla tickets, transactions, users and 3 more data types to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema eventzilla
ticketstransactionsuserseventsattendees- 1 more data type
How to connect Eventzilla and PostgreSQL
4 steps. You can preview the Eventzilla data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Eventzilla
Enter your Eventzilla API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Eventzilla data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Eventzilla 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 tickets and loads fresh Eventzilla 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 Eventzilla integrations with these destinations
Get the most of Eventzilla to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
6 data types, including Tickets, Transactions, Users, Events and Attendees.
With your Eventzilla API key, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the eventzilla schema and the tickets table on the first run.
Yes. Append adds new rows to tickets on each run, while Replace swaps in a fresh copy. With Append, add new Eventzilla 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.
