How to connect LearnDash and Microsoft SQL Server
Create a New Scenario to Connect LearnDash and Microsoft SQL Server
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 LearnDash, triggered by another scenario, or executed manually (for testing purposes). In most cases, LearnDash or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find LearnDash or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the LearnDash Node
Select the LearnDash node from the app selection panel on the right.

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

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the LearnDash and Microsoft SQL Server 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 LearnDash and Microsoft SQL Server 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring LearnDash, Microsoft SQL Server, 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 LearnDash and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between LearnDash and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect LearnDash and Microsoft SQL Server
LearnDash + Microsoft SQL Server + Slack: When a user completes a course in LearnDash, update the corresponding record in Microsoft SQL Server, then notify instructors in a dedicated Slack channel about the course completion.
Microsoft SQL Server + LearnDash + Google Sheets: Execute a query on a Microsoft SQL Server database related to LearnDash data. Then, add the results to a Google Sheet to visualize the data for reporting purposes.
LearnDash and Microsoft SQL Server integration alternatives
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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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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See how Latenode works
FAQ LearnDash and Microsoft SQL Server
How can I connect my LearnDash account to Microsoft SQL Server using Latenode?
To connect your LearnDash account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LearnDash and click on "Connect".
- Authenticate your LearnDash and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate student data backups to SQL?
Yes, you can! Latenode allows automated, scheduled data backups from LearnDash to Microsoft SQL Server. Benefit from reliable data redundancy and robust disaster recovery.
What types of tasks can I perform by integrating LearnDash with Microsoft SQL Server?
Integrating LearnDash with Microsoft SQL Server allows you to perform various tasks, including:
- Sync LearnDash student data to a central SQL database.
- Automatically update SQL tables when courses are completed.
- Generate custom reports combining course and user data.
- Trigger email sequences based on SQL data changes.
- Create personalized learning paths with SQL data analysis.
HowsecureistheLearnDashdatasyncbetweenLatenodeandSQLServer?
Latenode employs encryption and secure protocols, ensuring data integrity and confidentiality when transferring data between LearnDash and Microsoft SQL Server.
Are there any limitations to the LearnDash and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require JavaScript for advanced data manipulation.
- Initial data synchronization may take time depending on dataset size.
- Real-time data updates depend on the LearnDash API's polling frequency.