Connect DataForms.io and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for DataForms.io
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of DataForms.io and TimescaleDB
Enable Integrations or automations with these events of DataForms.io and TimescaleDB
Actions
Create Form
Creates a new form in DataForms.io using a selected template, title, and submission settings.
Find Form, Template or Entry
Finds a form, template, or entry in your DataForms account by name or code and returns it.
Delete Form
Permanently remove a form so it no longer appears or can be used.
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Frequently Asked Questions
To start, connect both your DataForms.io and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in DataForms.io triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how DataForms.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.
The data sync between DataForms.io 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 DataForms.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.
About DataForms.io
Web-based form builder for businesses that creates, templates, and embeds custom forms on websites with team collaboration and role-based permissions. Provides integrations (Zapier, Make) and a RESTful API for automations and programmatic access (base URL: https://api.dataforms.io).
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.
Learn More
