Connect SMS.to and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Contact
New Message Is Sent
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of SMS.to and TimescaleDB
Enable Integrations or automations with these events of SMS.to and TimescaleDB
Triggers
New Contact
Triggers when a new contact is created in a list.
New Message Is Sent
Runs when new message is sent
Actions
Estimate Single SMS
Estimate a Single SMS
Create/Update a Contact
Add a new contact in SMS.to
Send Single SMS
Send SMS to a phone number.
Get Recent Optouts
Get optouts detail that were opted out in last 1hr.
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Frequently Asked Questions
To start, connect both your SMS.to and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in SMS.to triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how SMS.to 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 SMS.to 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 SMS.to 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 SMS.to
SMS.To is a powerful platform for sending and receiving SMS messages, enabling businesses to communicate effectively with their customers through text messaging.
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
