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


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Authenticate SmartSuite
Now, click the SmartSuite node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SmartSuite settings. Authentication allows you to use SmartSuite through Latenode.
Configure the Microsoft SQL Server and SmartSuite 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 SmartSuite 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, SmartSuite, 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 SmartSuite integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and SmartSuite (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 SmartSuite
Microsoft SQL Server + SmartSuite + Slack: When a new or updated row is added to Microsoft SQL Server, a record is created in SmartSuite. Subsequently, a notification is sent to a designated Slack channel to inform the team about the new SmartSuite record.
SmartSuite + Microsoft SQL Server + Google Sheets: When a new record is created in SmartSuite, a row is inserted into Microsoft SQL Server. Following this, the data from SQL Server is retrieved and added as a new row in Google Sheets for archiving and reporting purposes.
Microsoft SQL Server and SmartSuite 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 SmartSuite
Use SmartSuite in Latenode to build flexible data workflows. Automate tasks like project management, CRM updates, or inventory tracking. Latenode adds custom logic, AI processing, and file handling to SmartSuite's structured data, creating scalable solutions that go beyond basic automation.
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See how Latenode works
FAQ Microsoft SQL Server and SmartSuite
How can I connect my Microsoft SQL Server account to SmartSuite using Latenode?
To connect your Microsoft SQL Server account to SmartSuite 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 SmartSuite accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update SmartSuite from new Microsoft SQL Server records?
Yes, you can! Latenode enables real-time data synchronization, so new Microsoft SQL Server records instantly update SmartSuite, saving you time and ensuring data consistency across platforms.
What types of tasks can I perform by integrating Microsoft SQL Server with SmartSuite?
Integrating Microsoft SQL Server with SmartSuite allows you to perform various tasks, including:
- Synchronizing customer data between SQL database and SmartSuite CRM.
- Creating new SmartSuite records from newly inserted SQL Server data.
- Updating SQL Server records based on changes in SmartSuite.
- Triggering notifications in SmartSuite upon specific SQL Server events.
- Aggregating SQL Server data into SmartSuite for reporting.
How secure is my Microsoft SQL Server data when using Latenode integrations?
Latenode employs robust encryption and secure authentication to protect your Microsoft SQL Server data during integration and workflow execution.
Are there any limitations to the Microsoft SQL Server and SmartSuite integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require JavaScript for advanced transformations.
- Very large data transfers could experience rate limits.
- Custom field mapping may require initial setup.