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


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Authenticate Google tasks
Now, click the Google tasks node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google tasks settings. Authentication allows you to use Google tasks through Latenode.
Configure the Microsoft SQL Server and Google tasks 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 Google tasks 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, Google tasks, 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 Google tasks integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Google tasks (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 Google tasks
Microsoft SQL Server + Google Tasks + Slack: When a new or updated row is detected in Microsoft SQL Server, a new task is created in Google Tasks, and a message is sent to a Slack channel notifying users about the new task.
Google Tasks + Microsoft SQL Server + Google Sheets: When a Google Task is completed, the task details (including deadline) are logged into a Google Sheet. Simultaneously, a corresponding status in a Microsoft SQL Server table is updated to reflect the task's completion.
Microsoft SQL Server and Google tasks 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 Google tasks
Tired of manually updating task lists? Connect Google Tasks to Latenode. Automatically create, update, or close tasks based on triggers from other apps. Streamline project management and keep teams aligned by connecting tasks to your workflows, avoiding manual updates and ensuring tasks reflect real-time activity.
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FAQ Microsoft SQL Server and Google tasks
How can I connect my Microsoft SQL Server account to Google tasks using Latenode?
To connect your Microsoft SQL Server account to Google tasks 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 Google tasks accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create tasks from new SQL entries using the integration?
Yes, you can! Latenode’s visual editor makes it easy to trigger Google tasks creation from new Microsoft SQL Server database entries. Streamline project management with immediate task assignment.
What types of tasks can I perform by integrating Microsoft SQL Server with Google tasks?
Integrating Microsoft SQL Server with Google tasks allows you to perform various tasks, including:
- Create a Google task when a new record is added to SQL Server.
- Update task details in Google tasks from SQL Server changes.
- Add SQL Server data to Google task descriptions automatically.
- Generate SQL Server reports based on completed Google tasks.
- Sync SQL Server data fields as custom fields in Google tasks.
How does Latenode handle data types between SQL Server and Google tasks?
Latenode provides flexible data mapping, so you can transform and format data to ensure compatibility between Microsoft SQL Server and Google tasks.
Are there any limitations to the Microsoft SQL Server and Google tasks integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require custom JavaScript code.
- Extremely high data volumes may impact workflow execution speed.
- Google tasks API rate limits may affect very frequent updates.