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


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


Save and Activate the Scenario
After configuring Microsoft SQL Server, Jira, 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 Jira integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Jira (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 Jira
Microsoft SQL Server + Jira + Slack: When a new or updated row is detected in Microsoft SQL Server (indicating a critical error), a new Jira issue is created to track the error. A notification is then sent to a Slack channel to alert the development team.
Jira + Microsoft SQL Server + Google Sheets: When a Jira issue is updated (specifically, when it's resolved), the resolution date and other relevant details are logged to a Microsoft SQL Server database. A summary of resolved tickets is then generated and appended to a Google Sheet.
Microsoft SQL Server and Jira 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 Jira
Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.
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FAQ Microsoft SQL Server and Jira
How can I connect my Microsoft SQL Server account to Jira using Latenode?
To connect your Microsoft SQL Server account to Jira 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 Jira accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Jira issues from SQL Server data?
Yes, you can! Latenode's visual editor and JavaScript blocks make this easy. Automatically create Jira issues based on specific SQL Server data changes for streamlined workflow.
What types of tasks can I perform by integrating Microsoft SQL Server with Jira?
Integrating Microsoft SQL Server with Jira allows you to perform various tasks, including:
- Create Jira tickets when new records are added to SQL Server.
- Update Jira issues based on changes in SQL Server data.
- Sync SQL Server data with Jira custom fields automatically.
- Generate reports in Jira using data from Microsoft SQL Server.
- Trigger SQL Server queries based on Jira issue status updates.
Can I use custom SQL queries within my Latenode Microsoft SQL Server integration?
Yes! Latenode enables you to execute custom SQL queries, providing flexibility for advanced data manipulation and tailored automation workflows.
Are there any limitations to the Microsoft SQL Server and Jira integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact performance; optimize query efficiency.
- Complex SQL Server stored procedures require careful testing.
- Rate limits imposed by Jira may affect high-volume operations.