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


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Authenticate Kintone
Now, click the Kintone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Kintone settings. Authentication allows you to use Kintone through Latenode.
Configure the Microsoft SQL Server and Kintone 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 Kintone 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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Save and Activate the Scenario
After configuring Microsoft SQL Server, Kintone, 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 Kintone integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Kintone (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 Kintone
Microsoft SQL Server + Kintone + Slack: When a row is created or updated in Microsoft SQL Server based on a custom query, the corresponding Kintone record is updated. Then, a Slack message is sent to a channel to notify the team of the critical database update and the updated Kintone record.
Kintone + Microsoft SQL Server + Power BI: When a new record is created in Kintone, a new row is inserted into Microsoft SQL Server. This data, combining Kintone and SQL Server information, can then be visualized in a Power BI dashboard for reporting and analysis.
Microsoft SQL Server and Kintone 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 Kintone
Integrate Kintone into Latenode to automate custom application workflows. Sync data, trigger actions, and manage processes without code. Extend Kintone's capabilities with Latenode's visual builder, JavaScript functions, and AI tools to automate data validation, reporting, and notifications. Scale efficiently and only pay for what you use.
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See how Latenode works
FAQ Microsoft SQL Server and Kintone
How can I connect my Microsoft SQL Server account to Kintone using Latenode?
To connect your Microsoft SQL Server account to Kintone 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 Kintone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync new SQL Server records to Kintone?
Yes, you can! Latenode's real-time triggers allow instant synchronization of new Microsoft SQL Server data to Kintone, automating data updates and eliminating manual entry.
What types of tasks can I perform by integrating Microsoft SQL Server with Kintone?
Integrating Microsoft SQL Server with Kintone allows you to perform various tasks, including:
- Automatically create new Kintone records from Microsoft SQL Server data.
- Update Kintone records when corresponding entries change in Microsoft SQL Server.
- Generate reports in Kintone using data pulled from Microsoft SQL Server.
- Monitor Microsoft SQL Server activity and trigger alerts within Kintone.
- Synchronize customer data between Microsoft SQL Server and Kintone apps.
How secure is Microsoft SQL Server integration in Latenode?
Latenode uses secure authentication and encryption methods, ensuring the safety and privacy of your Microsoft SQL Server data during integration.
Are there any limitations to the Microsoft SQL Server and Kintone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- High-volume data transfers can be subject to API rate limits.
- Some advanced Microsoft SQL Server stored procedures might need adjustments.