How to connect Microsoft SQL Server and LearnDash
Create a New Scenario to Connect Microsoft SQL Server and LearnDash
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or LearnDash will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or LearnDash, and select the appropriate trigger to start the scenario.

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

Configure the Microsoft SQL Server
Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LearnDash Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select LearnDash from the list of available apps, and choose the action you need from the list of nodes within LearnDash.


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Authenticate LearnDash
Now, click the LearnDash node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LearnDash settings. Authentication allows you to use LearnDash through Latenode.
Configure the Microsoft SQL Server and LearnDash Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft SQL Server and LearnDash Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Microsoft SQL Server, LearnDash, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Microsoft SQL Server and LearnDash integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and LearnDash (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft SQL Server and LearnDash
Microsoft SQL Server + LearnDash + Slack: When a new or updated row is added to the Microsoft SQL Server database (potentially representing new course information), the automation checks for corresponding courses in LearnDash and sends a Slack notification to a specified channel to inform students about the new course.
LearnDash + Microsoft SQL Server + Google Sheets: When a user completes a course in LearnDash, the event triggers an update to a Microsoft SQL Server database (inserting or updating a row to reflect completion status). This database update triggers a row addition to Google Sheets to track student progress.
Microsoft SQL Server and LearnDash integration alternatives

About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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About LearnDash
Automate LearnDash course management in Latenode. Enroll users automatically, send progress updates, and trigger actions in other apps based on course completion. Keep student data in sync with your CRM and marketing tools. Build custom learning paths visually; scale processes without code or per-step fees.
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See how Latenode works
FAQ Microsoft SQL Server and LearnDash
How can I connect my Microsoft SQL Server account to LearnDash using Latenode?
To connect your Microsoft SQL Server account to LearnDash on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and LearnDash accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I synchronize course completion data with my database?
Yes, you can! Latenode enables real-time data synchronization, providing powerful insights & customized reports that improve user experience and data accuracy.
What types of tasks can I perform by integrating Microsoft SQL Server with LearnDash?
Integrating Microsoft SQL Server with LearnDash allows you to perform various tasks, including:
- Automatically updating user profiles in LearnDash from SQL Server.
- Triggering course enrollment based on data changes in SQL Server.
- Backing up LearnDash course data to Microsoft SQL Server.
- Generating custom reports on course progress using SQL Server data.
- Synchronizing user roles between LearnDash and SQL Server.
Can I use stored procedures from SQL Server in my Latenode workflows?
Yes, Latenode allows you to execute stored procedures directly, giving you complete control and leveraging existing database logic in your automations.
Are there any limitations to the Microsoft SQL Server and LearnDash integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require optimization for best performance.
- Real-time synchronization depends on network connectivity.
- Large data transfers may impact workflow execution time.