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


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


Save and Activate the Scenario
After configuring Microsoft SQL Server, Clockify, 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 Clockify integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Clockify (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 Clockify
Clockify + Microsoft SQL Server + Slack: When a new time entry is created in Clockify, the information is logged to a SQL Server database. A query runs periodically to check if project budgets are nearing their limits based on logged time. If a project exceeds the limit, a Slack message is sent to the project manager.
Clockify + Microsoft SQL Server + Google Sheets: When a new time entry is created in Clockify, the information is logged to a SQL Server database. SQL Server data is then used to generate summary reports in Google Sheets for client billing. The Google Sheet is updated to reflect the latest time entries.
Microsoft SQL Server and Clockify 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 Clockify
Track work hours in Clockify and automate reporting within Latenode. Log time entries, then trigger automated invoice creation, project updates, or performance dashboards. Centralize time tracking data in your workflows and reduce manual data entry. Use AI tools to analyze time data and optimize project timelines.
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See how Latenode works
FAQ Microsoft SQL Server and Clockify
How can I connect my Microsoft SQL Server account to Clockify using Latenode?
To connect your Microsoft SQL Server account to Clockify 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 Clockify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically log billable hours from SQL Server data in Clockify?
Yes, you can! Latenode allows you to create automated workflows to extract data from Microsoft SQL Server and log it as billable hours in Clockify, saving time and improving accuracy.
What types of tasks can I perform by integrating Microsoft SQL Server with Clockify?
Integrating Microsoft SQL Server with Clockify allows you to perform various tasks, including:
- Automatically logging new SQL Server entries as Clockify time entries.
- Generating reports in Clockify based on SQL Server data analysis.
- Updating project statuses in Clockify based on SQL Server data changes.
- Tracking project costs in SQL Server based on Clockify time logs.
- Syncing employee data between Microsoft SQL Server and Clockify.
How secure is it to connect my Microsoft SQL Server instance through Latenode?
Latenode uses secure connection protocols and encryption methods to ensure data is safely transmitted between your Microsoft SQL Server instance and Clockify. We prioritize data security.
Are there any limitations to the Microsoft SQL Server and Clockify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may require manual configuration.
- Complex SQL queries may need custom JavaScript code for optimal performance.
- Clockify's API rate limits can affect the frequency of data updates.