Connect OneSignal and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
New Template
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of OneSignal and TimescaleDB
Enable Integrations or automations with these events of OneSignal and TimescaleDB
Triggers
New Template
Triggers when new template is created.
Actions
Get All Players
Get an all existing players
View messages
View the details for a collection of messages.
List Templates
List all templates.
List Segments
List all segments.
Create an Email Template
Create an email template.
Create an SMS Template
Create an sms template.
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Frequently Asked Questions
To start, connect both your OneSignal and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in OneSignal triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how OneSignal 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 OneSignal 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 OneSignal 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 OneSignal
OneSignal is a simple and smart service that send push notifications across all platforms. OneSignal features reliable delivery of millions of notifications, segmentation and targeting, automated delivery, localization, support for all major app development tools, and real time analytics.
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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