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

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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Creatomate and Google Cloud BigQuery (REST) 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 Google Cloud BigQuery (REST) 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, Google Cloud BigQuery (REST), 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 Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Creatomate and Google Cloud BigQuery (REST) (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 Google Cloud BigQuery (REST)
Creatomate + Google Cloud BigQuery (REST) + Google Sheets: When a new video render is completed in Creatomate, the data is automatically inserted into a BigQuery table. Google Sheets then pulls data from BigQuery to visualize video performance metrics.
Google Cloud BigQuery (REST) + Creatomate + Slack: BigQuery monitors video engagement metrics. If a significant drop is detected based on a query, Creatomate automatically renders a new promotional video, and a notification with the new video details is sent to a Slack channel.
Creatomate and Google Cloud BigQuery (REST) 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 Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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See how Latenode works
FAQ Creatomate and Google Cloud BigQuery (REST)
How can I connect my Creatomate account to Google Cloud BigQuery (REST) using Latenode?
To connect your Creatomate account to Google Cloud BigQuery (REST) 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 Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate video creation from BigQuery data?
Yes, you can! Latenode allows no-code automation of video generation using data from Google Cloud BigQuery (REST) and Creatomate, streamlining content production.
What types of tasks can I perform by integrating Creatomate with Google Cloud BigQuery (REST)?
Integrating Creatomate with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Generate personalized videos using data stored in BigQuery.
- Update video templates dynamically with data from database queries.
- Create video reports automatically based on real-time BigQuery data.
- Trigger video rendering when new data entries appear in BigQuery.
- Schedule recurring video updates using BigQuery data and Latenode.
How secure is connecting Creatomate to Latenode?
Latenode uses secure authentication and encryption to protect your Creatomate and Google Cloud BigQuery (REST) data during integration and workflow execution.
Are there any limitations to the Creatomate and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from BigQuery may impact workflow execution speed.
- Complex Creatomate templates may require optimized BigQuery queries.
- Real-time synchronization depends on the rate limits of both services.