IntegrationsCRM.ioTimescaleDB
CRM.io + TimescaleDB

Connect CRM.io and TimescaleDB to Build Intelligent Automations

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CRM.io

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TimescaleDB

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Frequently Asked Questions

How do I start an integration between CRM.io and TimescaleDB?

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

Can we customize how data from CRM.io is recorded in TimescaleDB?

Absolutely. You can customize how CRM.io 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 CRM.io and TimescaleDB?

The data sync between CRM.io 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 CRM.io 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 CRM.io and TimescaleDB?

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

CRM.io

About CRM.io

CRM.io is a comprehensive Customer Relationship Management platform designed to streamline and enhance the way businesses interact with their customers. It offers a suite of tools to manage customer data, track interactions, and automate sales processes, ensuring that businesses can maintain strong relationships with their clients and improve customer satisfaction.

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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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