IntegrationsAiSensyTimescaleDB
AiSensy + TimescaleDB

Connect AiSensy and TimescaleDB to Build Intelligent Automations

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AiSensy

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between AiSensy and TimescaleDB?

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

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

Absolutely. You can customize how AiSensy 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 AiSensy and TimescaleDB?

The data sync between AiSensy 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 AiSensy 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 AiSensy and TimescaleDB?

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

AiSensy

About AiSensy

AiSensy is a platform that leverages artificial intelligence to enhance customer communication and engagement. It provides tools for businesses to automate and optimize their messaging strategies, ensuring efficient and effective interactions with their audience.

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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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