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


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Authenticate Process Street
Now, click the Process Street node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Process Street settings. Authentication allows you to use Process Street through Latenode.
Configure the Microsoft SQL Server and Process Street 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 Process Street 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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AI Anthropic Claude 3
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Process Street
Trigger on Webhook
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Microsoft SQL Server
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Webhook response


Save and Activate the Scenario
After configuring Microsoft SQL Server, Process Street, 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 Process Street integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Process Street (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 Process Street
Microsoft SQL Server + Process Street + Slack: When a row is updated in Microsoft SQL Server, find the corresponding workflow run in Process Street and update it. Finally, send a message to a Slack channel notifying the update with relevant details.
Process Street + Microsoft SQL Server + Google Sheets: When a workflow run is completed in Process Street, insert a row into a Microsoft SQL Server database. Subsequently, add a row to a Google Sheet to track the completion and record relevant data.
Microsoft SQL Server and Process Street 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 Process Street
Use Process Street in Latenode to run repeatable tasks like onboarding or reports as part of larger workflows. Automatically trigger actions in other apps (CRM, databases) when checklist items are completed, keeping processes moving. This avoids manual updates and ensures audit trails, all at Latenode's execution-based pricing.
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FAQ Microsoft SQL Server and Process Street
How can I connect my Microsoft SQL Server account to Process Street using Latenode?
To connect your Microsoft SQL Server account to Process Street 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 Process Street accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Process Street checklists from SQL data?
Yes, you can! Latenode's visual editor simplifies this. Automatically update checklist items in Process Street based on changes in your Microsoft SQL Server database, streamlining your workflows and saving time.
What types of tasks can I perform by integrating Microsoft SQL Server with Process Street?
Integrating Microsoft SQL Server with Process Street allows you to perform various tasks, including:
- Automatically create Process Street checklists from new SQL Server records.
- Update SQL Server tables when a Process Street checklist is completed.
- Trigger Process Street workflows based on SQL Server data changes.
- Log Process Street activity data directly into your SQL Server database.
- Synchronize data between SQL Server and Process Street in real-time.
HowsecureisdatahandlingwhenusingMicrosoftSQLServerwithLatenode?
Latenode uses secure connections and encryption to protect your data when integrating Microsoft SQL Server, ensuring your sensitive information remains safe throughout all workflows.
Are there any limitations to the Microsoft SQL Server and Process Street integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Microsoft SQL Server might affect workflow speed.
- Complex SQL queries may require JavaScript blocks for optimal performance.
- Custom field mappings in Process Street need to be configured manually.