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


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Authenticate Paperform
Now, click the Paperform node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Paperform settings. Authentication allows you to use Paperform through Latenode.
Configure the Microsoft SQL Server and Paperform 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 Paperform 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, Paperform, 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 Paperform integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Paperform (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 Paperform
Paperform + Microsoft SQL Server + Slack: When a new form submission is received in Paperform, the submission data is inserted as a new row into a Microsoft SQL Server database. Then, a notification is sent to a Slack channel to alert the team of the new submission.
Paperform + Microsoft SQL Server + Google Sheets: Whenever a new submission is received on Paperform, the data is inserted into a Microsoft SQL Server database. Then, summary reports from the SQL database are periodically synced and updated in Google Sheets.
Microsoft SQL Server and Paperform 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 Paperform
Automate form data handling with Paperform and Latenode. Collect responses and trigger follow-up actions: add leads to your CRM, create tasks in project management tools, or generate personalized documents. Latenode lets you process Paperform submissions with flexible logic, AI, and direct API integrations to scale your workflows without code.
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See how Latenode works
FAQ Microsoft SQL Server and Paperform
How can I connect my Microsoft SQL Server account to Paperform using Latenode?
To connect your Microsoft SQL Server account to Paperform 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 Paperform accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update a database from new form submissions?
Yes, you can! Latenode lets you instantly update your Microsoft SQL Server database with new Paperform submissions, ensuring your data is always current. Automate and streamline data management.
What types of tasks can I perform by integrating Microsoft SQL Server with Paperform?
Integrating Microsoft SQL Server with Paperform allows you to perform various tasks, including:
- Capture form data and directly insert it into a SQL Server database.
- Automatically generate reports from Paperform data stored in SQL Server.
- Create new customer records in SQL Server based on form submissions.
- Update existing SQL Server records with new data from Paperform responses.
- Trigger custom notifications based on changes to your SQL Server data.
Can I use custom SQL queries within Latenode workflows?
Yes, Latenode supports custom SQL queries, allowing precise data manipulation and retrieval within your automated workflows for advanced data handling.
Are there any limitations to the Microsoft SQL Server and Paperform integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may experience delays depending on server load.
- Complex SQL queries might require advanced configuration and testing.
- Real-time synchronization depends on the polling interval set within Latenode.