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


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Authenticate Close CRM
Now, click the Close CRM node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Close CRM settings. Authentication allows you to use Close CRM through Latenode.
Configure the Microsoft SQL Server and Close CRM 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 Close CRM 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, Close CRM, 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 Close CRM integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Close CRM (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 Close CRM
Microsoft SQL Server + Close CRM + Slack: When a new or updated row is added to a Microsoft SQL Server database table, the information is used to create a new lead in Close CRM. Subsequently, a message is sent to a Slack channel to notify the sales team about the new lead.
Close CRM + Microsoft SQL Server + Google Sheets: When a new deal is created in Close CRM, its details are inserted into a Microsoft SQL Server database and appended as a new row in a Google Sheet for reporting and analysis.
Microsoft SQL Server and Close CRM 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 Close CRM
Automate Close CRM tasks in Latenode to streamline sales processes. Automatically update deals, create tasks, or trigger follow-ups based on custom events. Integrate Close CRM with other apps like Slack or Google Sheets to centralize your data and communication flows using Latenode’s visual editor and flexible logic.
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See how Latenode works
FAQ Microsoft SQL Server and Close CRM
How can I connect my Microsoft SQL Server account to Close CRM using Latenode?
To connect your Microsoft SQL Server account to Close CRM 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 Close CRM accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Close CRM leads from SQL Server data?
Yes, you can! Latenode's visual editor makes it easy to create workflows that sync data from Microsoft SQL Server to Close CRM, keeping your lead information up-to-date and accurate, boosting sales effectiveness.
What types of tasks can I perform by integrating Microsoft SQL Server with Close CRM?
Integrating Microsoft SQL Server with Close CRM allows you to perform various tasks, including:
- Creating new Close CRM leads from new Microsoft SQL Server database entries.
- Updating Close CRM contact information based on Microsoft SQL Server data changes.
- Triggering Close CRM activities based on specific events in Microsoft SQL Server.
- Generating reports in Microsoft SQL Server based on Close CRM opportunity stages.
- Automating data backups from Close CRM to Microsoft SQL Server for security.
Can I use custom SQL queries within Latenode workflows?
Yes, you can! Latenode supports custom SQL queries, giving you complete control over data retrieval from Microsoft SQL Server and seamless integration into your workflows.
Are there any limitations to the Microsoft SQL Server and Close CRM integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Complex SQL queries may require optimization for best performance.
- Real-time synchronization depends on the polling interval configured in Latenode.