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


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Authenticate Google Meet
Now, click the Google Meet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Meet settings. Authentication allows you to use Google Meet through Latenode.
Configure the Microsoft SQL Server and Google Meet 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 Meet 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 Meet, 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 Meet integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Google Meet (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 Meet
Microsoft SQL Server + Google Meet + Slack: When a critical error is detected by a custom query in Microsoft SQL Server, a Google Meet meeting is scheduled, and a notification is sent to a designated Slack channel to alert relevant personnel.
Google Meet + Microsoft SQL Server + Google Sheets: When a Google Meet ends, attendance data is collected and inserted as a new row in a Microsoft SQL Server database. Simultaneously, the same attendance data is logged into a Google Sheet for reporting and archival purposes.
Microsoft SQL Server and Google Meet 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 Meet
Automate Google Meet within Latenode workflows. Schedule meetings based on triggers, automatically generate invites after form submissions, or record & transcribe calls, saving time and ensuring consistent follow-up. Connect Meet to CRMs or project tools for streamlined task management. Simplify repetitive scheduling and meeting-related tasks.
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See how Latenode works
FAQ Microsoft SQL Server and Google Meet
How can I connect my Microsoft SQL Server account to Google Meet using Latenode?
To connect your Microsoft SQL Server account to Google Meet 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 Meet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I get notified on Google Meet about SQL Server database changes?
Yes, you can! Latenode's real-time triggers and adaptable logic blocks enable instant Google Meet notifications based on Microsoft SQL Server updates, streamlining critical updates.
What types of tasks can I perform by integrating Microsoft SQL Server with Google Meet?
Integrating Microsoft SQL Server with Google Meet allows you to perform various tasks, including:
- Schedule Google Meet calls based on data changes in SQL Server.
- Send meeting summaries to SQL Server after the call concludes.
- Automatically invite attendees to Google Meet from SQL Server records.
- Log Google Meet attendance in your Microsoft SQL Server database.
- Trigger follow-up tasks in SQL Server based on Google Meet outcomes.
How does Latenode handle large Microsoft SQL Server datasets?
Latenode efficiently manages large datasets through optimized queries and data streaming, ensuring reliable Microsoft SQL Server automation.
Are there any limitations to the Microsoft SQL Server and Google Meet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require custom JavaScript code.
- High-volume data transfer may incur additional costs.
- Google Meet API rate limits can affect large automated workflows.