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


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Authenticate Teamwork
Now, click the Teamwork node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Teamwork settings. Authentication allows you to use Teamwork through Latenode.
Configure the Microsoft SQL Server and Teamwork 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 Teamwork 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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Save and Activate the Scenario
After configuring Microsoft SQL Server, Teamwork, 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 Teamwork integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Teamwork (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 Teamwork
Teamwork + Microsoft SQL Server + Slack: When a new project is created in Teamwork, retrieve relevant data from a Microsoft SQL Server database using a custom query, and then send a notification with the project details and SQL Server data to a designated Slack channel.
Teamwork + Microsoft SQL Server + Google Sheets: When a task is marked complete in Teamwork, log the task details in a Microsoft SQL Server database. Then, weekly, summarize the completed task data from SQL Server and update a Google Sheet with the summary.
Microsoft SQL Server and Teamwork 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 Teamwork
Streamline project tasks in Teamwork via Latenode. Automatically create, update, or close tasks based on triggers from other apps like Slack or email. Improve project tracking and team coordination by connecting Teamwork to your workflows. Use Latenode for complex logic and custom data routing without code.
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See how Latenode works
FAQ Microsoft SQL Server and Teamwork
How can I connect my Microsoft SQL Server account to Teamwork using Latenode?
To connect your Microsoft SQL Server account to Teamwork 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 Teamwork accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Teamwork tasks from SQL data?
Yes, with Latenode you can! Automatically update Teamwork tasks based on changes in your Microsoft SQL Server database. Latenode's visual editor and data transformation tools simplify complex data flows.
What types of tasks can I perform by integrating Microsoft SQL Server with Teamwork?
Integrating Microsoft SQL Server with Teamwork allows you to perform various tasks, including:
- Create Teamwork tasks when new records are added to SQL.
- Update SQL entries based on changes made to Teamwork tasks.
- Sync project data between SQL Server and Teamwork projects.
- Generate reports in Teamwork based on SQL Server data analysis.
- Automate notifications in Teamwork triggered by SQL alerts.
How secure is connecting Microsoft SQL Server to Latenode?
Latenode employs industry-standard security protocols and encryption to ensure your Microsoft SQL Server credentials and data are protected during integration.
Are there any limitations to the Microsoft SQL Server and Teamwork integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may experience delays depending on server load.
- Custom SQL queries require basic SQL knowledge for optimal use.
- Real-time synchronization is subject to API rate limits of both apps.