IntegrationsPayrexxTimescaleDB
Payrexx + TimescaleDB

Connect Payrexx and TimescaleDB to Build Intelligent Automations

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Payrexx

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between Payrexx and TimescaleDB?

To start, connect both your Payrexx and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Payrexx triggers actions in TimescaleDB (or vice versa).

Can we customize how data from Payrexx is recorded in TimescaleDB?

Absolutely. You can customize how Payrexx data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Payrexx and TimescaleDB?

The data sync between Payrexx and TimescaleDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Payrexx to TimescaleDB?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Payrexx and TimescaleDB?

Yes, you can set conditional logic to control the flow of data between Payrexx and TimescaleDB. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Payrexx

About Payrexx

Payrexx is a versatile payment processing platform designed to simplify online transactions for businesses of all sizes. It offers a user-friendly interface and a range of tools to manage payments, subscriptions, and donations efficiently. With Payrexx, businesses can easily integrate various payment methods, ensuring a seamless checkout experience for their customers.

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TimescaleDB

About TimescaleDB

TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.

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