How to connect Microsoft SQL Server and Salesmate
Create a New Scenario to Connect Microsoft SQL Server and Salesmate
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β 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 Salesmate will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Salesmate, 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 Salesmate Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Salesmate from the list of available apps, and choose the action you need from the list of nodes within Salesmate.


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Authenticate Salesmate
Now, click the Salesmate node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Salesmate settings. Authentication allows you to use Salesmate through Latenode.
Configure the Microsoft SQL Server and Salesmate 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 Salesmate 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 donβt 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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Webhook response


Save and Activate the Scenario
After configuring Microsoft SQL Server, Salesmate, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Microsoft SQL Server and Salesmate integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Salesmate (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 Salesmate
Salesmate + Microsoft SQL Server + Slack: When a new high-value deal is created in Salesmate, the automation checks additional data in Microsoft SQL Server using a query. If the criteria are met, a notification is sent to a Slack channel.
Salesmate + Microsoft SQL Server + Google Sheets: When a deal is updated in Salesmate, the deal information is logged in Microsoft SQL Server by inserting a new row. A weekly summary of deals is then generated from the SQL data and added to a Google Sheet.
Microsoft SQL Server and Salesmate 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 Salesmate
Automate Salesmate tasks within Latenode to streamline sales processes. Trigger actions like lead creation or deal updates based on events in other apps. Connect Salesmate to your marketing stack, enrich data, and manage follow-ups using visual workflows and custom logic, avoiding manual data entry. Scale your sales automation without code, paying only for execution time.
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FAQ Microsoft SQL Server and Salesmate
How can I connect my Microsoft SQL Server account to Salesmate using Latenode?
To connect your Microsoft SQL Server account to Salesmate 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 Salesmate accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync new Salesmate contacts to Microsoft SQL Server?
Yes, you can! Latenode enables real-time contact synchronization, ensuring your Microsoft SQL Server database is always up-to-date with new Salesmate leads, without manual data entry.
What types of tasks can I perform by integrating Microsoft SQL Server with Salesmate?
Integrating Microsoft SQL Server with Salesmate allows you to perform various tasks, including:
- Automatically backing up Salesmate data to Microsoft SQL Server.
- Generating custom reports using Salesmate data stored in Microsoft SQL Server.
- Updating Salesmate deal stages based on Microsoft SQL Server data analysis.
- Creating new Salesmate contacts from Microsoft SQL Server database entries.
- Triggering Salesmate email campaigns based on Microsoft SQL Server events.
Can I use Javascript to transform data between Microsoft SQL Server & Salesmate?
Yes! Latenode allows you to use Javascript code blocks to perform complex data transformations between Microsoft SQL Server and Salesmate for customized automation.
Are there any limitations to the Microsoft SQL Server and Salesmate integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data migration may require manual configuration for complex datasets.
- Extremely high data volumes might require optimized workflow design.
- Custom SQL queries need to adhere to Microsoft SQL Server syntax.