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


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Authenticate Google Chat
Now, click the Google Chat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Chat settings. Authentication allows you to use Google Chat through Latenode.
Configure the Microsoft SQL Server and Google Chat 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 Chat 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 Chat, 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 Chat integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Google Chat (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 Chat
Microsoft SQL Server + Google Chat + Jira: When a new or updated row is detected in Microsoft SQL Server, indicating a high-priority bug, a message is sent to Google Chat to alert the project team. Subsequently, a new issue is created in Jira to track the bug.
Microsoft SQL Server + Google Chat + Microsoft Teams: Daily, key metrics are extracted from Microsoft SQL Server using a query. These metrics are then posted to both a dedicated Google Chat channel and a Microsoft Teams channel for leadership review.
Microsoft SQL Server and Google Chat 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 Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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See how Latenode works
FAQ Microsoft SQL Server and Google Chat
How can I connect my Microsoft SQL Server account to Google Chat using Latenode?
To connect your Microsoft SQL Server account to Google Chat 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 Chat accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I get SQL data updates in Google Chat?
Yes, you can! Latenode lets you trigger Google Chat messages on database changes, keeping teams informed. This streamlines communication based on real-time data.
What types of tasks can I perform by integrating Microsoft SQL Server with Google Chat?
Integrating Microsoft SQL Server with Google Chat allows you to perform various tasks, including:
- Receive notifications for new SQL Server database entries.
- Post daily sales reports from SQL Server to a Chat channel.
- Alert support teams about critical SQL Server errors.
- Share database backup confirmations in Google Chat.
- Send weekly SQL Server performance summaries to stakeholders.
How does Latenode handle SQL Server connection security?
Latenode uses secure, encrypted connections for Microsoft SQL Server, protecting your data with industry-standard protocols and secure credential storage.
Are there any limitations to the Microsoft SQL Server and Google Chat integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries might require JavaScript blocks for full customization.
- Large data transfers from SQL Server may impact workflow execution time.
- Google Chat message formatting is limited to their supported syntax.