How to connect Google tasks and Microsoft SQL Server
Create a New Scenario to Connect Google tasks and Microsoft SQL Server
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 Google tasks, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google tasks or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Google tasks or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Google tasks Node
Select the Google tasks node from the app selection panel on the right.


Google tasks

Configure the Google tasks
Click on the Google tasks node to configure it. You can modify the Google tasks URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Google tasks node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.


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


Save and Activate the Scenario
After configuring Google tasks, Microsoft SQL Server, 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 Google tasks and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Google tasks and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google tasks and Microsoft SQL Server
Google Tasks + Microsoft SQL Server + Slack: When a task is marked as completed in Google Tasks, the details are logged in a Microsoft SQL Server database. A daily summary of completed tasks is then sent to a designated Slack channel.
Microsoft SQL Server + Google Tasks + Jira: When a new row is added or updated in a Microsoft SQL Server table, a corresponding task is created in Google Tasks. Additionally, a ticket is created in Jira to track the task's progress and resolution.
Google tasks and Microsoft SQL Server integration alternatives

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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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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FAQ Google tasks and Microsoft SQL Server
How can I connect my Google tasks account to Microsoft SQL Server using Latenode?
To connect your Google tasks account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google tasks and click on "Connect".
- Authenticate your Google tasks and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync new Google tasks to SQL database?
Yes, you can! Latenode lets you automate this in minutes. Every new Google task is automatically added to your SQL database, ensuring data consistency and eliminating manual entry.
What types of tasks can I perform by integrating Google tasks with Microsoft SQL Server?
Integrating Google tasks with Microsoft SQL Server allows you to perform various tasks, including:
- Backup Google tasks data to a secure Microsoft SQL Server database.
- Create reports on task completion rates stored in your SQL Server database.
- Automatically generate tasks in Google tasks based on SQL Server data.
- Synchronize task updates between Google tasks and SQL Server in real-time.
- Trigger notifications based on task status changes stored in SQL Server.
How to handle date formats between the systems?
Latenode’s built-in data transformation tools allow you to easily manage and standardize date formats between Google tasks and Microsoft SQL Server.
Are there any limitations to the Google tasks and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript code blocks.
- Large-scale data synchronization can be subject to Google tasks API rate limits.
- Custom SQL queries beyond basic CRUD operations might require advanced knowledge.