IntegrationsHumantic AITimescaleDB
Humantic AI + TimescaleDB

Connect Humantic AI and TimescaleDB to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between Humantic AI and TimescaleDB?

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

Can we customize how data from Humantic AI is recorded in TimescaleDB?

Absolutely. You can customize how Humantic AI 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 Humantic AI and TimescaleDB?

The data sync between Humantic AI 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 Humantic AI 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 Humantic AI and TimescaleDB?

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

Humantic AI

About Humantic AI

Humantic AI is a cutting-edge platform that leverages artificial intelligence to provide deep insights into human behavior and personality. It helps businesses and individuals understand their customers, colleagues, and themselves better, enabling more personalized and effective interactions.

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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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