Connect SQL Server and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SQL Server
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of SQL Server and Birst
Enable Integrations or automations with these events of SQL Server and Birst
Actions
Execute a query
Execute any query on SQL Server Database
Insert a row
Insert a row in SQL Server Database
Update row
Update row in SQL Server Database Table
Find row via custom query
Find a row via query in SQL Server Database table
Find row
Find a row in SQL Server Database
Create or Update
Perform Upsert (Create or Update) operation in any SQL Server Database table.
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Frequently Asked Questions
To start, connect both your SQL Server and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in SQL Server triggers actions in Birst (or vice versa).
Absolutely. You can customize how SQL Server 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 SQL Server 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 SQL Server 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 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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