How to connect PostgreSQL and Creatomate
Create a New Scenario to Connect PostgreSQL and Creatomate
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Creatomate will be your first step. To do this, click "Choose an app," find PostgreSQL or Creatomate, and select the appropriate trigger to start the scenario.

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


PostgreSQL

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


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Authenticate Creatomate
Now, click the Creatomate node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Creatomate settings. Authentication allows you to use Creatomate through Latenode.
Configure the PostgreSQL and Creatomate 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 PostgreSQL and Creatomate 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 donβt 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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AI Anthropic Claude 3
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Trigger on Webhook
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring PostgreSQL, Creatomate, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the PostgreSQL and Creatomate integration works as expected. Depending on your setup, data should flow between PostgreSQL and Creatomate (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PostgreSQL and Creatomate
PostgreSQL + Creatomate + Slack: When a new entry is added to PostgreSQL, it triggers Creatomate to render a video using the data from the entry. Upon successful rendering, Slack sends a notification to a specified channel with details about the rendered video.
Creatomate + PostgreSQL + Google Sheets: When a video render is completed in Creatomate, the metadata of the rendered video is saved to a PostgreSQL database. Subsequently, this metadata is used to update the inventory information in a Google Sheets spreadsheet.
PostgreSQL and Creatomate integration alternatives

About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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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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See how Latenode works
FAQ PostgreSQL and Creatomate
How can I connect my PostgreSQL account to Creatomate using Latenode?
To connect your PostgreSQL account to Creatomate on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PostgreSQL and click on "Connect".
- Authenticate your PostgreSQL and Creatomate accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate personalized videos from PostgreSQL data?
Yes, you can! Latenode lets you automate video creation with data from PostgreSQL. Dynamically create engaging content tailored to each record, saving time and boosting engagement.
What types of tasks can I perform by integrating PostgreSQL with Creatomate?
Integrating PostgreSQL with Creatomate allows you to perform various tasks, including:
- Automatically generating social media videos from new PostgreSQL database entries.
- Creating personalized marketing videos based on customer data in PostgreSQL.
- Producing reports with dynamic video elements sourced from PostgreSQL data.
- Updating video templates in Creatomate based on real-time PostgreSQL data changes.
- Triggering video renders in Creatomate based on specific PostgreSQL database events.
How does Latenode handle large PostgreSQL datasets efficiently?
Latenode uses optimized data streaming and processing to handle large PostgreSQL datasets, ensuring efficient and scalable Creatomate video generation.
Are there any limitations to the PostgreSQL and Creatomate integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex PostgreSQL queries may require optimization for best performance.
- Creatomate rendering times depend on video complexity and project queue.
- Very large datasets might need chunking for optimal workflow execution.