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


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Authenticate BambooHR
Now, click the BambooHR node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your BambooHR settings. Authentication allows you to use BambooHR through Latenode.
Configure the Microsoft SQL Server and BambooHR 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 BambooHR 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, BambooHR, 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 BambooHR integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and BambooHR (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 BambooHR
Microsoft SQL Server + BambooHR + Slack: When an employee's data is updated in Microsoft SQL Server, the corresponding information is updated in BambooHR, and a confirmation message is sent to the HR team via Slack.
BambooHR + Microsoft SQL Server + Google Sheets: When a new employee is added in BambooHR, their information is added to a Microsoft SQL Server database and then added to a Google Sheet for payroll purposes.
Microsoft SQL Server and BambooHR 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 BambooHR
Streamline HR processes. Use BambooHR with Latenode to automate onboarding, offboarding, and employee data sync. Automatically update other systems (like payroll or Slack) based on BambooHR changes. Centralize HR workflows in a visual no-code builder. Reduce manual data entry and ensure consistency across all platforms.
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FAQ Microsoft SQL Server and BambooHR
How can I connect my Microsoft SQL Server account to BambooHR using Latenode?
To connect your Microsoft SQL Server account to BambooHR 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 BambooHR accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync employee data changes from BambooHR to SQL?
Yes, you can! Latenode allows real-time data synchronization. Update employee records in BambooHR and automatically reflect those changes in your Microsoft SQL Server database, ensuring data consistency.
What types of tasks can I perform by integrating Microsoft SQL Server with BambooHR?
Integrating Microsoft SQL Server with BambooHR allows you to perform various tasks, including:
- Automatically updating employee information in SQL from BambooHR.
- Generating custom reports using data from both systems.
- Triggering database backups upon new BambooHR employee onboarding.
- Auditing BambooHR changes and logging them in Microsoft SQL Server.
- Creating data visualizations based on combined datasets.
Can I use custom SQL queries to extract data for BambooHR workflows?
Yes, you can! Latenode allows custom SQL queries, enabling precise data extraction for your BambooHR automations. Leverage SQL for advanced filtering and transformation.
Are there any limitations to the Microsoft SQL Server and BambooHR integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Complex SQL queries might require advanced knowledge.
- Real-time synchronization is subject to API availability and rate limits.