Export data from SQL database to CSV: 3 nifty techniques
Export your SQL data into CSV with 3 nifty techniques: using SQL Server Management Studio, sqlcmd command line utility and n8n automation tool.
Back to Integrations 
Microsoft SQL and QRadar integration
Save yourself the work of writing custom integrations for Microsoft SQL and QRadar and use n8n instead. Build adaptable and scalable Development, Data & Storage, and Cybersecurity workflows that work with your technology stack. All within a building experience you will love.
How to connect Microsoft SQL and QRadar
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Microsoft SQL and QRadar (using the HTTP Request node)
You can find Microsoft SQL and QRadar nodes in the nodes panel and drag them onto your workflow canvas. Microsoft SQL node comes with pre-built credentials and supported actions. QRadar can be set up with the HTTP Request node using a pre-configured credential type. The HTTP Request node makes custom API calls to QRadar. Configure Microsoft SQL and QRadar nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Microsoft SQL and QRadar
A connection establishes a link between Microsoft SQL and QRadar (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Microsoft SQL and QRadar integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Microsoft SQL and QRadar with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Microsoft SQL and QRadar workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Microsoft SQL to QRadar or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Build your own Microsoft SQL and QRadar integration
Create custom Microsoft SQL and QRadar workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Supported methods for QRadar
Delete
Get
Head
Options
Patch
Post
Put
Requires additional credentials set up
Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.
Microsoft SQL and QRadar integration details
Other integrations with Microsoft SQL
FAQs
Can Microsoft SQL connect with QRadar?
Can I use Microsoft SQL’s API with n8n?
Can I use QRadar’s API with n8n?
Is n8n secure for integrating Microsoft SQL and QRadar?
How to get started with Microsoft SQL and QRadar integration in n8n.io?
Looking to integrate Microsoft SQL and QRadar in your company?
Over 3000 companies switch to n8n every single week
Why use n8n to integrate Microsoft SQL with QRadar
Build complex workflows, really fast
