IntegrationsWeavelyTimescaleDB
Weavely + TimescaleDB

Connect Weavely and TimescaleDB to Build Intelligent Automations

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between Weavely and TimescaleDB?

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

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

Absolutely. You can customize how Weavely 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 Weavely and TimescaleDB?

The data sync between Weavely 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 Weavely 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 Weavely and TimescaleDB?

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

Weavely

About Weavely

Weavely is an innovative AI-powered platform designed to enhance productivity and creativity through advanced artificial intelligence tools. It offers a suite of features that streamline workflows, automate tasks, and provide intelligent insights, making it an essential tool for businesses and individuals looking to leverage AI technology.

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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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