How to connect JobNimbus and Microsoft SQL Server
Create a New Scenario to Connect JobNimbus and Microsoft SQL Server
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 JobNimbus, triggered by another scenario, or executed manually (for testing purposes). In most cases, JobNimbus or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find JobNimbus or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the JobNimbus Node
Select the JobNimbus node from the app selection panel on the right.

JobNimbus
Configure the JobNimbus
Click on the JobNimbus node to configure it. You can modify the JobNimbus URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the JobNimbus node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the JobNimbus and Microsoft SQL Server 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 JobNimbus and Microsoft SQL Server 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 JobNimbus, Microsoft SQL Server, 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 JobNimbus and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between JobNimbus and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect JobNimbus and Microsoft SQL Server
JobNimbus + Microsoft SQL Server + Slack: When a new project is created in JobNimbus, the project details are logged in Microsoft SQL Server. Then, a notification is sent to the relevant team channel in Slack to announce the new project.
JobNimbus + Microsoft SQL Server + Google Sheets: When a JobNimbus project is updated, the updated project data is backed up to a Microsoft SQL Server database. Simultaneously, changes in project details are tracked by updating a Google Sheets spreadsheet for reporting purposes.
JobNimbus and Microsoft SQL Server integration alternatives
About JobNimbus
Automate Instagram Business tasks within Latenode. Schedule posts, extract comments, and analyze metrics without manual effort. Integrate Instagram data with CRMs or spreadsheets. Latenode offers flexible logic and affordable scaling, so you can manage social media workflows alongside other business processes using AI tools or custom scripts.
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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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FAQ JobNimbus and Microsoft SQL Server
How can I connect my JobNimbus account to Microsoft SQL Server using Latenode?
To connect your JobNimbus account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select JobNimbus and click on "Connect".
- Authenticate your JobNimbus and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync JobNimbus contacts to Microsoft SQL Server?
Yes, you can! Latenode's visual editor makes this simple. Automatically synchronize new or updated JobNimbus contacts to your SQL Server database in real-time, keeping your data consistent.
What types of tasks can I perform by integrating JobNimbus with Microsoft SQL Server?
Integrating JobNimbus with Microsoft SQL Server allows you to perform various tasks, including:
- Backing up JobNimbus data to a secure Microsoft SQL Server database.
- Creating custom reports by combining JobNimbus and other data sources.
- Automatically updating JobNimbus records based on SQL Server data changes.
- Triggering JobNimbus actions based on queries in Microsoft SQL Server.
- Synchronizing customer data between JobNimbus and Microsoft SQL Server.
What JobNimbus data can I access within Latenode workflows?
You can access various JobNimbus data points including contacts, jobs, tasks, and financial records for workflow automations.
Are there any limitations to the JobNimbus and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Custom SQL Server stored procedures might require custom JavaScript.
- Complex data transformations could necessitate advanced node configurations.