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


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Authenticate JobNimbus
Now, click the JobNimbus node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your JobNimbus settings. Authentication allows you to use JobNimbus through Latenode.
Configure the Microsoft SQL Server and JobNimbus 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 JobNimbus 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, JobNimbus, 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 JobNimbus integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and JobNimbus (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 JobNimbus
Microsoft SQL Server + JobNimbus + Slack: When a new or updated row is detected in Microsoft SQL Server that matches specific criteria, a new contact is created in JobNimbus. Subsequently, a Slack message is sent to a designated channel, notifying project managers about the new JobNimbus contact linked to the updated SQL Server entry.
JobNimbus + Microsoft SQL Server + Google Sheets: When a contact is created in JobNimbus, the automation retrieves relevant data from Microsoft SQL Server based on predefined criteria. This data is then combined with the JobNimbus contact information and used to update a Google Sheet row, effectively enriching the sheet with cross-referenced data.
Microsoft SQL Server and JobNimbus 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 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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FAQ Microsoft SQL Server and JobNimbus
How can I connect my Microsoft SQL Server account to JobNimbus using Latenode?
To connect your Microsoft SQL Server account to JobNimbus 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 JobNimbus accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync JobNimbus contacts with Microsoft SQL Server records?
Yes, you can! Latenode's visual editor simplifies syncing. Automatically update Microsoft SQL Server with new JobNimbus contacts for centralized data and efficient reporting.
What types of tasks can I perform by integrating Microsoft SQL Server with JobNimbus?
Integrating Microsoft SQL Server with JobNimbus allows you to perform various tasks, including:
- Create new JobNimbus contacts from Microsoft SQL Server data.
- Update existing JobNimbus records with Microsoft SQL Server changes.
- Trigger custom notifications based on database events.
- Back up JobNimbus data to a Microsoft SQL Server database.
- Generate reports combining data from both platforms.
HowsecureismyMicrosoftSQLServerdatainLatenode?
Latenode employs robust encryption and security measures to protect your Microsoft SQL Server data at rest and in transit,ensuringcompliance.
Are there any limitations to the Microsoft SQL Server and JobNimbus integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers might experience rate limits.
- Complex SQL queries may require JavaScript code.
- Real-time sync depends on the chosen polling frequency.