Connect Fluent Forms and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Form Submission
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Fluent Forms and TimescaleDB
Enable Integrations or automations with these events of Fluent Forms and TimescaleDB
Triggers
New Form Submission
Triggered when a new form is submitted in Fluent Forms.
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Frequently Asked Questions
To start, connect both your Fluent Forms and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Fluent Forms triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Fluent Forms 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.
The data sync between Fluent Forms and TimescaleDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Fluent Forms 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.
About Fluent Forms
Fluent Forms is a powerful and user-friendly form builder that allows users to create custom forms for their websites with ease. It offers a wide range of features including drag-and-drop form building, conditional logic, and integration with various third-party services, making it ideal for businesses and individuals looking to streamline their data collection processes.
Learn MoreAbout 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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