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Automatically archive approved Qwilr proposals in Microsoft SQL Server for reporting and analysis. Latenode's visual editor makes setting up the automation easy, plus affordable execution-based pricing keeps costs predictable as your proposal volume grows.
Connect Qwilr and Microsoft SQL Server in minutes with Latenode.
Create Qwilr to Microsoft SQL Server workflow
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In the workspace, click the “Create New Scenario” button.

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

Select the Qwilr node from the app selection panel on the right.

Qwilr
Next, click the plus (+) icon on the Qwilr 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.

Qwilr
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Microsoft SQL Server
Trigger on Webhook
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Qwilr
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Iterator
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Webhook response
After configuring Qwilr, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Qwilr and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Qwilr and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Qwilr + Microsoft SQL Server + Slack: When a Qwilr proposal is accepted, the automation updates the corresponding row in the Microsoft SQL Server database and sends a notification to the sales team in Slack to celebrate the win.
Microsoft SQL Server + Qwilr + Pipedrive: When a new client is added to a Microsoft SQL Server database, a Qwilr proposal is automatically created using client information, and the client is added as a person to Pipedrive.
About Qwilr
Automate Qwilr quote creation inside Latenode workflows. Automatically generate Qwilr proposals when triggered by new CRM leads or form submissions. Send data to Qwilr, then use Latenode to track views, trigger follow-ups, and update your database—no manual data entry needed. Scale personalized sales flows with ease.
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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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How can I connect my Qwilr account to Microsoft SQL Server using Latenode?
To connect your Qwilr account to Microsoft SQL Server on Latenode, follow these steps:
Can I log every accepted Qwilr proposal in SQL?
Yes, you can! Latenode automates logging accepted Qwilr proposals in SQL, ensuring data integrity and streamlined reporting. Use no-code or JavaScript blocks for advanced transforms.
What types of tasks can I perform by integrating Qwilr with Microsoft SQL Server?
Integrating Qwilr with Microsoft SQL Server allows you to perform various tasks, including:
How do I transform Qwilr data before storing it in SQL Server?
Latenode offers data transformation blocks and JavaScript steps to modify Qwilr data before it reaches SQL Server, ensuring data integrity and correct formatting.
Are there any limitations to the Qwilr and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: