How to connect Creatomate and Microsoft SQL Server
Create a New Scenario to Connect Creatomate and Microsoft SQL Server
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 Creatomate, triggered by another scenario, or executed manually (for testing purposes). In most cases, Creatomate or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Creatomate or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Creatomate Node
Select the Creatomate node from the app selection panel on the right.

Creatomate
Configure the Creatomate
Click on the Creatomate node to configure it. You can modify the Creatomate URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Creatomate node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the Creatomate and Microsoft SQL Server 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 Creatomate and Microsoft SQL Server 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Creatomate, Microsoft SQL Server, 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 Creatomate and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Creatomate and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Creatomate and Microsoft SQL Server
Creatomate + Microsoft SQL Server + Google Sheets: When a new video render is completed in Creatomate, the flow updates video metrics stored in Microsoft SQL Server. Then, it adds a new row to a Google Sheet with the updated video metrics.
Creatomate + Microsoft SQL Server + Slack: When new video content is rendered by Creatomate, the flow updates the SQL Server database with the video information. Subsequently, a message is sent to a Slack channel notifying the marketing team about the new video and the updated SQL Server data.
Creatomate and Microsoft SQL Server integration alternatives
About Creatomate
Automate video creation with Creatomate in Latenode. Generate personalized videos from data: product demos, social media content, or reports. Connect Creatomate to any data source and automate complex workflows with Latenode's visual editor, JavaScript support, and flexible API. Scale video production without manual effort.
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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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FAQ Creatomate and Microsoft SQL Server
How can I connect my Creatomate account to Microsoft SQL Server using Latenode?
To connect your Creatomate account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Creatomate and click on "Connect".
- Authenticate your Creatomate and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate video creation from database records?
Yes, you can! Latenode’s visual editor simplifies connecting Microsoft SQL Server data to Creatomate for automated video generation, saving you development time and resources with its no-code approach.
What types of tasks can I perform by integrating Creatomate with Microsoft SQL Server?
Integrating Creatomate with Microsoft SQL Server allows you to perform various tasks, including:
- Automatically generate personalized videos from SQL Server data.
- Update video templates in Creatomate based on database changes.
- Create dynamic marketing videos using SQL Server customer data.
- Trigger video rendering upon new record creation in SQL Server.
- Archive Creatomate-generated video metadata to SQL Server.
Can I use JavaScript to transform data between apps?
Yes, Latenode enables complex data transformations with JavaScript blocks, ensuring data from Microsoft SQL Server integrates perfectly with Creatomate's requirements.
Are there any limitations to the Creatomate and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large video rendering tasks may consume significant processing time.
- Complex SQL queries could impact workflow performance.
- Real-time data synchronization depends on the polling interval.