Connect Routee and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New contact added
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Routee and TimescaleDB
Enable Integrations or automations with these events of Routee and TimescaleDB
Triggers
New contact added
Start a workflow for each contact added to your Routee account.
Actions
List all Contacts
Retrieve all the contacts of the account.
Create contact
Create a new contact with name, mobile number, country code, and optional VIP flag.
Send an SMS
Send a text message to the specified phone number.
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Frequently Asked Questions
To start, connect both your Routee and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Routee triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Routee 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 Routee 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 Routee 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 Routee
Routee is a platform that provides users with SMS sending functionality, enhancing communication between businesses and individuals.
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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