Connect Rollbar and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Rollbar
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of Rollbar and Birst
Enable Integrations or automations with these events of Rollbar and Birst
Actions
Create Team
Creates a new team.
Create a project
Creates a new project.
Delete a project
Delete a project by project name.
Delete a Team
Delete a team.
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Frequently Asked Questions
To start, connect both your Rollbar and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Rollbar triggers actions in Birst (or vice versa).
Absolutely. You can customize how Rollbar data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Rollbar and Birst 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 Rollbar and Birst. 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 Rollbar
Rollbar is a real-time error monitoring and debugging tool that helps developers track and fix errors in their applications. It provides detailed error reports, allowing teams to quickly identify and resolve issues, improving the overall quality and reliability of their software.
Learn MoreAbout Birst
Birst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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