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


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Authenticate Shopify
Now, click the Shopify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Shopify settings. Authentication allows you to use Shopify through Latenode.
Configure the Microsoft SQL Server and Shopify 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 Shopify 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, Shopify, 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 Shopify integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Shopify (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 Shopify
Microsoft SQL Server + Shopify + Slack: When a new or updated order is detected in the Microsoft SQL Server database, the details are used to find or create an order in Shopify. A Slack message is then sent to a designated channel to notify the team about the new order.
Shopify + Microsoft SQL Server + Google Sheets: When a new order is placed in Shopify, the order data is inserted as a new row in a Microsoft SQL Server database. Then, Execute query to create summary reports and send to Google Sheets.
Microsoft SQL Server and Shopify 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 Shopify
Sync Shopify orders, customers, or inventory data with other apps using Latenode. Automate fulfillment, update databases, or trigger marketing campaigns based on sales events. Use visual workflows to customize logic without code, and scale processes affordably based on execution time.
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See how Latenode works
FAQ Microsoft SQL Server and Shopify
How can I connect my Microsoft SQL Server account to Shopify using Latenode?
To connect your Microsoft SQL Server account to Shopify 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 Shopify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync Shopify order data to my SQL database?
Yes, you can! Latenode allows seamless data transfer, ensuring your Microsoft SQL Server database is always up-to-date with Shopify order information for reporting and analysis.
What types of tasks can I perform by integrating Microsoft SQL Server with Shopify?
Integrating Microsoft SQL Server with Shopify allows you to perform various tasks, including:
- Automatically backing up Shopify product data to a Microsoft SQL Server database.
- Updating Shopify inventory based on Microsoft SQL Server stock levels.
- Generating custom reports on Shopify sales using Microsoft SQL Server data.
- Creating customer segments in Shopify based on Microsoft SQL Server analytics.
- Triggering email campaigns based on purchase history stored in Microsoft SQL Server.
How secure is Microsoft SQL Server data access within Latenode?
Latenode uses encrypted connections and secure authentication protocols to ensure your Microsoft SQL Server data is protected when accessed via our platform.
Are there any limitations to the Microsoft SQL Server and Shopify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Custom SQL queries require some technical knowledge.
- Real-time synchronization is subject to API rate limits.