Connect Basin and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Basin
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Basin and TimescaleDB
Enable Integrations or automations with these events of Basin and TimescaleDB
Actions
Create Project
Creates new project.
Create Form
Creates a new form
Update Form
Updates existing forms.
Update Submissions
Updates submissions
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Frequently Asked Questions
To start, connect both your Basin and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Basin triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Basin 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 Basin 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 Basin 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 Basin
Basin is a powerful tool designed to streamline form management and data collection for businesses and developers. It offers a seamless way to handle form submissions without the need for server-side code, making it ideal for web developers and businesses looking to simplify their form handling 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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