Connect SQL Server and PostHog to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SQL Server
Choose an Action
Automatically do this!
Capture Event
List all User
List all Organizations
List all Project
List all Members
Create Project
Rename Project
Delete Project
Enable Integrations or automations with these events of SQL Server and PostHog
Enable Integrations or automations with these events of SQL Server and PostHog
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 PostHog accounts to viaSocket. Once connected, you can set up a workflow where an event in SQL Server triggers actions in PostHog (or vice versa).
Absolutely. You can customize how SQL Server data is recorded in PostHog. This includes choosing which data fields go into which fields of PostHog, setting up custom formats, and filtering out unwanted information.
The data sync between SQL Server and PostHog 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 PostHog. 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 PostHog
PostHog is an open-source product analytics platform that provides businesses with the tools to understand user behavior and improve their products. It offers features such as event tracking, session recording, and feature flags, enabling teams to make data-driven decisions and enhance user experiences.
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