Amelia + PostgreSQL Integration

Connect Amelia to PostgreSQL in 1 click

Integrate Amelia + PostgreSQL For Free ✔ Free forever. ✔ Use premium features free for 14 days.

Popular Amelia + PostgreSQL Workflows

Create PostgreSQL row for new Amelia booking

It's important to keep track of your bookings, and creating a spreadsheet can help you do just that. Automatically creating a new row in PostgreSQL for every new Amelia booking created will help you keep track of the details of each booking, including the date, time, and number of guests.

Also all the relevant data will be stored in one place and can be easily accessed by anyone who needs it. This makes it easier to generate reports on bookings and their associated data. In short, using this Amelia - PostgreSQL integration will save time and hassle down the line, so it is well worth doing. So go ahead and get started today!

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When Booking is canceled in Amelia > Search row(Custom Query) in PostgreSQL > Check any condition > Update row in PostgreSQL

Amelia + PostgreSQL Integration

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Create Your Own Amelia & PostgreSQL Integration Without Any Code

Create Custom Workflow

Booking is completed in Amelia Instant
Booking status is changed in Amelia Instant
Booking is rescheduled in Amelia Instant
Booking is canceled in Amelia Instant
Row is created in PostgreSQL
Row is created or updated in PostgreSQL
Row is created (Custom Query) in PostgreSQL
Table is created in PostgreSQL
Column is created in PostgreSQL

Create row in PostgreSQL
Search row(Custom Query) in PostgreSQL
Update row in PostgreSQL
Search row in PostgreSQL

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You Can Also Connect Amelia or PostgreSQL With 1200+ Other Apps

Amelia is the only platform that combines language understanding, AI-based conversational capabilities, and natural human interaction to deliver unprecedented conversational experiences.

See Amelia Integrations

PostgreSQL is a robust and feature-rich open-source database management system. Its advanced data management capabilities, powerful SQL engine, and robust security features can handle even the most demanding workloads.

See PostgreSQL Integrations