IntegrationsRelodifyTimescaleDB
Relodify + TimescaleDB

Connect Relodify and TimescaleDB to Build Intelligent Automations

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Relodify

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between Relodify and TimescaleDB?

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

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

Absolutely. You can customize how Relodify 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 Relodify and TimescaleDB?

The data sync between Relodify 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 Relodify 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 Relodify and TimescaleDB?

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

Relodify

About Relodify

Relodify is a comprehensive relocation management platform designed to streamline the process of moving. Whether you're relocating for work, personal reasons, or managing corporate relocations, Relodify offers tools and services to make the transition smooth and efficient.

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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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