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


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Authenticate Google contacts
Now, click the Google contacts node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google contacts settings. Authentication allows you to use Google contacts through Latenode.
Configure the Microsoft SQL Server and Google contacts 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 contacts 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 contacts, 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 contacts integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Google contacts (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 contacts
Microsoft SQL Server + Google Contacts + Microsoft Outlook: When a new or updated row appears in Microsoft SQL Server, a new contact is created or updated in Google Contacts. Then, a personalized welcome email is sent via Microsoft Outlook to the new contact.
Google Contacts + Microsoft SQL Server + Google Sheets: When a new contact is created in Google Contacts, the contact details are inserted as a new row into a Microsoft SQL Server database. After that, a summary report is created or updated on a Google Sheet.
Microsoft SQL Server and Google contacts 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 contacts
Sync Google Contacts with Latenode to automate contact management. Update records, trigger follow-ups, or enrich profiles based on events in other apps. Avoid manual data entry; use Latenode’s visual builder to create flows that sync contacts across your marketing and sales tools, adding custom logic without coding.
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See how Latenode works
FAQ Microsoft SQL Server and Google contacts
How can I connect my Microsoft SQL Server account to Google contacts using Latenode?
To connect your Microsoft SQL Server account to Google contacts 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 contacts accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I synchronize new SQL Server entries to Google contacts?
Yes, you can! Latenode lets you sync data automatically, ensuring Google contacts are always up-to-date with the latest entries in your Microsoft SQL Server database.
What types of tasks can I perform by integrating Microsoft SQL Server with Google contacts?
Integrating Microsoft SQL Server with Google contacts allows you to perform various tasks, including:
- Create new Google contacts from new Microsoft SQL Server database entries.
- Update Google contact details based on changes in Microsoft SQL Server.
- Search for contacts in Google based on data in your Microsoft SQL Server.
- Trigger email campaigns from Google contacts using data in SQL Server.
- Create backups of contact information in Microsoft SQL Server database.
How secure is connecting Microsoft SQL Server to Latenode?
Latenode uses advanced encryption and security protocols to ensure your Microsoft SQL Server data remains secure during integration and data transfer.
Are there any limitations to the Microsoft SQL Server and Google contacts integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data migrations may require significant processing time.
- Custom SQL queries need careful testing to ensure data integrity.
- Complex data transformations may require JavaScript code blocks.