IntegrationsTimeRexTimescaleDB
TimeRex + TimescaleDB

Connect TimeRex and TimescaleDB to Build Intelligent Automations

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TimeRex

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between TimeRex and TimescaleDB?

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

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

Absolutely. You can customize how TimeRex 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 TimeRex and TimescaleDB?

The data sync between TimeRex 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 TimeRex 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 TimeRex and TimescaleDB?

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

TimeRex

About TimeRex

Timerex is a powerful time management and scheduling tool designed to help individuals and teams optimize their productivity. With features like task tracking, calendar integration, and automated reminders, Timerex ensures you stay on top of your commitments and deadlines.

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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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