IntegrationsSMTP2GOTimescaleDB
SMTP2GO + TimescaleDB

Connect SMTP2GO and TimescaleDB to Build Intelligent Automations

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SMTP2GO

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between SMTP2GO and TimescaleDB?

To start, connect both your SMTP2GO and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in SMTP2GO triggers actions in TimescaleDB (or vice versa).

Can we customize how data from SMTP2GO is recorded in TimescaleDB?

Absolutely. You can customize how SMTP2GO 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 SMTP2GO and TimescaleDB?

The data sync between SMTP2GO 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 SMTP2GO 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 SMTP2GO and TimescaleDB?

Yes, you can set conditional logic to control the flow of data between SMTP2GO 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.

SMTP2GO

About SMTP2GO

SMTP2GO is a reliable and efficient email delivery service that ensures your emails reach their intended recipients without any hassle. It provides a robust SMTP server solution for businesses and individuals, offering features like email tracking, analytics, and detailed reporting to enhance your email communication strategy.

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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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