Connect Rebrandly and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Branded Link
New Click
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Rebrandly and TimescaleDB
Enable Integrations or automations with these events of Rebrandly and TimescaleDB
Triggers
New Branded Link
Trigger when create a new branded link.
New Click
Triggers when the Branded Link receives a new click.
Actions
Create Branded Link
create a short branded link from any url.
Update Branded Link
update the destination url of branded link
Create New Tag
Creates a new tag in Rebrandly.
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Frequently Asked Questions
To start, connect both your Rebrandly and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Rebrandly triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Rebrandly 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 Rebrandly 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 Rebrandly 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 Rebrandly
Rebrandly is the easiest way to create and share branded links (short URLs using your own domain name).
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
