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

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


Microsoft Excel

Configure the Microsoft Excel
Click on the Microsoft Excel node to configure it. You can modify the Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel 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 Microsoft Excel 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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Microsoft SQL Server
Trigger on Webhook
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Webhook response


Save and Activate the Scenario
After configuring Microsoft Excel, 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 Microsoft Excel and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Microsoft Excel 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 Microsoft Excel and Microsoft SQL Server
Microsoft SQL Server + Microsoft Excel + Microsoft Outlook: Extracts daily sales data from SQL Server, formats it into an Excel spreadsheet, and emails the report using Outlook.
Microsoft SQL Server + Microsoft Excel + Slack: Monitors for changes in SQL Server data. When a change is detected and reflected in an Excel dashboard, a notification is sent to a Slack channel.
Microsoft Excel and Microsoft SQL Server integration alternatives

About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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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 Microsoft Excel and Microsoft SQL Server
How can I connect my Microsoft Excel account to Microsoft SQL Server using Latenode?
To connect your Microsoft Excel account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate data backups from Microsoft Excel to Microsoft SQL Server?
Yes, you can! Latenode simplifies automated backups with its visual editor. Ensure data integrity, minimize loss, and free up valuable time with scheduled workflows.
What types of tasks can I perform by integrating Microsoft Excel with Microsoft SQL Server?
Integrating Microsoft Excel with Microsoft SQL Server allows you to perform various tasks, including:
- Automatically importing data from Excel into SQL Server databases.
- Exporting SQL Server data to Excel spreadsheets for analysis.
- Creating scheduled reports based on combined data sources.
- Validating Excel data against SQL Server database constraints.
- Synchronizing data between Excel and SQL Server in real-time.
What Excel file formats are supported within Latenode workflows?
Latenode supports .xlsx and .xls formats. Complex parsing logic? Combine no-code blocks with JavaScript for full control over your data.
Are there any limitations to the Microsoft Excel and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Excel files may experience slower processing times.
- Complex Excel formulas might require custom JavaScript functions.
- SQL Server connection limits may affect high-volume data transfers.