Creatomate and PostgreSQL Integration

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Automatically generate Creatomate videos using data stored in PostgreSQL. Latenode simplifies the integration with a visual editor, offers JavaScript for complex logic, and scales affordably by execution time.

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Creatomate

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Creatomate and PostgreSQL

Create a New Scenario to Connect Creatomate and PostgreSQL

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 PostgreSQL will be your first step. To do this, click "Choose an app," find Creatomate or PostgreSQL, 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.

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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.

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Sign In

Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the Creatomate node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.

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PostgreSQL

Authenticate PostgreSQL

Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.

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PostgreSQL

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Configure the Creatomate and PostgreSQL Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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PostgreSQL Oauth 2.0

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The action ID

Run node once

Set Up the Creatomate and PostgreSQL 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 Creatomate, PostgreSQL, 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 PostgreSQL integration works as expected. Depending on your setup, data should flow between Creatomate and PostgreSQL (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 PostgreSQL

Creatomate + PostgreSQL + Airtable: When a video render is completed in Creatomate, its metadata is stored in PostgreSQL. This data is then synced to Airtable for easy access and reporting.

PostgreSQL + Creatomate + Slack: When a new row is added to PostgreSQL, Creatomate generates a promotional video based on the data. This video is then shared with the team on Slack.

Creatomate and PostgreSQL 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.

Related categories

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.

See how Latenode works

FAQ Creatomate and PostgreSQL

How can I connect my Creatomate account to PostgreSQL using Latenode?

To connect your Creatomate account to PostgreSQL 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 PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I dynamically update video templates with database content?

Yes, you can! Latenode enables real-time updates of Creatomate templates using PostgreSQL data, ensuring videos reflect the latest information automatically. Scale with no-code logic or JavaScript.

What types of tasks can I perform by integrating Creatomate with PostgreSQL?

Integrating Creatomate with PostgreSQL allows you to perform various tasks, including:

  • Generate personalized videos based on PostgreSQL user data.
  • Automate video creation triggered by new database entries.
  • Update video content dynamically with PostgreSQL data changes.
  • Create reports with video summaries of PostgreSQL database metrics.
  • Archive video projects alongside related PostgreSQL records.

HowdoesLatenodeenhanceCreatomateworkflowswhenusingPostgreSQLdata?

Latenode simplifies data handling with no-code blocks, handles large datasets, and allows for complex logic via JavaScript, offering greater control over automation.

Are there any limitations to the Creatomate and PostgreSQL integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex database queries might require JavaScript knowledge.
  • Extremely large video project queues may experience processing delays.
  • Real-time data updates depend on PostgreSQL connection stability.

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