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

Add the Google Cloud BigQuery (REST) Node
Select the Google Cloud BigQuery (REST) node from the app selection panel on the right.

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

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Authenticate Mailjet
Now, click the Mailjet node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Mailjet settings. Authentication allows you to use Mailjet through Latenode.
Configure the Google Cloud BigQuery (REST) and Mailjet 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 Google Cloud BigQuery (REST) and Mailjet 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 Google Cloud BigQuery (REST), Mailjet, 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 Google Cloud BigQuery (REST) and Mailjet integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Mailjet (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery (REST) and Mailjet
Google Cloud BigQuery (REST) + Mailjet + Slack: Analyze marketing campaign performance data in BigQuery. When query results indicate goals are reached based on a predefined query and condition, send a congratulatory email using Mailjet and alert the team in a dedicated Slack channel.
Mailjet + Google Cloud BigQuery (REST) + Google Sheets: Track email campaign events from Mailjet in BigQuery. The aggregated data is used to update a report in Google Sheets, triggering an alert to the marketing team upon a change in conversion or ROI metrics.
Google Cloud BigQuery (REST) and Mailjet integration alternatives
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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About Mailjet
Use Mailjet in Latenode to automate email sending based on triggers from other apps. Update contact lists, send personalized campaigns, and track results—all without code. Connect Mailjet to your CRM, database, or e-commerce platform for automated workflows. Latenode provides the flexibility and scale to manage complex email automations efficiently, with no per-step cost limitations.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Mailjet
How can I connect my Google Cloud BigQuery (REST) account to Mailjet using Latenode?
To connect your Google Cloud BigQuery (REST) account to Mailjet on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Mailjet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized email campaigns based on BigQuery data?
Yes, you can! Latenode allows you to trigger Mailjet emails based on data analysis in Google Cloud BigQuery (REST). Increase engagement with targeted, data-driven messaging.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Mailjet?
Integrating Google Cloud BigQuery (REST) with Mailjet allows you to perform various tasks, including:
- Send personalized emails based on BigQuery customer segmentation.
- Update contact properties in Mailjet from BigQuery data analysis.
- Trigger email sequences based on user behavior tracked in BigQuery.
- Create reports in BigQuery based on Mailjet email campaign stats.
- Automate welcome emails for new users added to BigQuery database.
How does Latenode handle data transformations for BigQuery to Mailjet?
Latenode offers visual data mapping and JavaScript functions for seamless transformations, ensuring data compatibility between apps.
Are there any limitations to the Google Cloud BigQuery (REST) and Mailjet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex BigQuery queries may require optimization for efficient data transfer.
- Mailjet's sending limits apply when sending large volumes of emails.
- Data schema changes in BigQuery may require adjustments to existing workflows.