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


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Authenticate Qwilr
Now, click the Qwilr node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Qwilr settings. Authentication allows you to use Qwilr through Latenode.
Configure the Microsoft SQL Server and Qwilr 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 Qwilr 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 Microsoft SQL Server, Qwilr, 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 Qwilr integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Qwilr (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 Qwilr
Microsoft SQL Server + Qwilr + Slack: When a new client record is added to the Microsoft SQL Server database, a Qwilr proposal is automatically created using a predefined template. A notification is then sent to a designated sales channel in Slack to alert the team.
Qwilr + Microsoft SQL Server + Pipedrive: When a proposal in Qwilr is accepted, a new customer record is automatically created in the Microsoft SQL Server database. Subsequently, the corresponding deal stage is updated in Pipedrive to reflect the successful conversion.
Microsoft SQL Server and Qwilr 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 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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See how Latenode works
FAQ Microsoft SQL Server and Qwilr
How can I connect my Microsoft SQL Server account to Qwilr using Latenode?
To connect your Microsoft SQL Server account to Qwilr 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 Qwilr accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Qwilr data using SQL database changes?
Yes, you can! Latenode lets you trigger Qwilr updates from SQL events. Keep your sales materials current with real-time database changes for accurate client interactions.
What types of tasks can I perform by integrating Microsoft SQL Server with Qwilr?
Integrating Microsoft SQL Server with Qwilr allows you to perform various tasks, including:
- Generate personalized Qwilr proposals from SQL customer data.
- Automatically update Qwilr projects based on SQL database triggers.
- Track Qwilr proposal status changes within your SQL database.
- Create reports merging Qwilr analytics with SQL data insights.
- Sync new SQL leads to Qwilr for immediate sales outreach.
Can I perform complex data transformations on Latenode using Javascript?
Yes! Latenode supports custom Javascript code, allowing you to transform data between Microsoft SQL Server and Qwilr with precision.
Are there any limitations to the Microsoft SQL Server and Qwilr integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large SQL queries might require optimization for efficient data transfer.
- Qwilr's API rate limits may impact high-volume automation scenarios.
- Complex data structures in SQL may need custom parsing logic.