How to connect Microsoft SQL Server and Wave
Create a New Scenario to Connect Microsoft SQL Server and Wave
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 Wave will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Wave, 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.


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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 Wave Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Wave from the list of available apps, and choose the action you need from the list of nodes within Wave.


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Authenticate Wave
Now, click the Wave node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wave settings. Authentication allows you to use Wave through Latenode.
Configure the Microsoft SQL Server and Wave 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 Wave 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, Wave, 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 Wave integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Wave (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 Wave
Microsoft SQL Server + Wave + Slack: This automation monitors key client accounts by triggering a Slack alert whenever a new invoice is created in Wave and data about the invoice is added to the Microsoft SQL Server database.
Wave + Microsoft SQL Server + Google Sheets: This automation archives Wave invoice data to Microsoft SQL Server, then summarizes the data weekly in a Google Sheet for easy reporting and analysis.
Microsoft SQL Server and Wave 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 Wave
Use Wave in Latenode to automate payment reminders and subscription management. Connect Wave to your CRM or database to trigger personalized emails or SMS based on payment status. Latenode’s visual editor makes it simple to build complex billing workflows and handle edge cases without code, ensuring timely payments and reducing churn.
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FAQ Microsoft SQL Server and Wave
How can I connect my Microsoft SQL Server account to Wave using Latenode?
To connect your Microsoft SQL Server account to Wave 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 Wave accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate invoice creation from SQL data using Microsoft SQL Server and Wave?
Yes, you can. Latenode's visual editor simplifies mapping SQL data to Wave invoices, automating accounting and saving time with no-code workflows enhanced by Javascript steps.
What types of tasks can I perform by integrating Microsoft SQL Server with Wave?
Integrating Microsoft SQL Server with Wave allows you to perform various tasks, including:
- Automatically creating Wave invoices from new SQL Server database entries.
- Syncing customer data between Microsoft SQL Server and Wave for unified records.
- Generating financial reports in Wave based on SQL Server data analysis.
- Updating customer information in Wave when changes occur in Microsoft SQL Server.
- Triggering Wave payment reminders based on due dates stored in SQL Server.
Can I use custom SQL queries to extract specific data for Wave?
Yes! Latenode allows you to use custom SQL queries, providing precise data extraction to populate Wave with relevant financial information.
Are there any limitations to the Microsoft SQL Server and Wave integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex SQL queries may require JavaScript knowledge for optimal data transformation.
- Real-time data synchronization is subject to API limits of both Microsoft SQL Server and Wave.
- Handling very large datasets might require optimizing workflow execution for performance.