How to connect Microsoft SQL Server and Microsoft Excel
Create a New Scenario to Connect Microsoft SQL Server and Microsoft Excel
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 Microsoft Excel will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Microsoft Excel, 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 Microsoft Excel Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Microsoft Excel from the list of available apps, and choose the action you need from the list of nodes within Microsoft Excel.


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Authenticate Microsoft Excel
Now, click the Microsoft Excel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Excel settings. Authentication allows you to use Microsoft Excel through Latenode.
Configure the Microsoft SQL Server and Microsoft Excel 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 Microsoft Excel 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, Microsoft Excel, 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 Microsoft Excel integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Microsoft Excel (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 Microsoft Excel
Microsoft SQL Server + Microsoft Excel + Slack: Monitors a Microsoft SQL Server database for new or updated rows matching a custom query. When found, the data is extracted and added as a new row to a specified Microsoft Excel table. Finally, a message is sent to a Slack channel to alert the team about the database change and the updated report.
Microsoft Excel + Microsoft SQL Server + Microsoft Teams: Triggers when a new row is added to a specified table in Microsoft Excel. The data from this new row is then inserted as a new row into a Microsoft SQL Server database. Upon successful insertion, a message is sent to a Microsoft Teams channel, notifying users of the successful data update.
Microsoft SQL Server and Microsoft Excel 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 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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FAQ Microsoft SQL Server and Microsoft Excel
How can I connect my Microsoft SQL Server account to Microsoft Excel using Latenode?
To connect your Microsoft SQL Server account to Microsoft Excel 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 Microsoft Excel accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Excel with new SQL Server data?
Yes, you can! Latenode's visual editor simplifies the process, allowing you to create automated workflows that keep your Excel spreadsheets synchronized with your Microsoft SQL Server database in real-time.
What types of tasks can I perform by integrating Microsoft SQL Server with Microsoft Excel?
Integrating Microsoft SQL Server with Microsoft Excel allows you to perform various tasks, including:
- Importing large datasets from Microsoft SQL Server into Excel for analysis.
- Exporting processed Excel data back to Microsoft SQL Server tables.
- Generating automated reports in Excel using data from Microsoft SQL Server.
- Creating dashboards in Excel that visualize Microsoft SQL Server data trends.
- Scheduling automatic data refreshes between Microsoft SQL Server and Excel.
What SQL Server data types are supported on Latenode?
Latenode supports most common SQL Server data types, ensuring seamless data transfer and transformation within your automated workflows, including numeric, text and date formats.
Are there any limitations to the Microsoft SQL Server and Microsoft Excel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to API rate limits.
- Complex SQL queries might require custom JavaScript blocks.
- Excel file size limits apply when writing data to spreadsheets.