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

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Authenticate Brevo (Sendinblue)
Now, click the Brevo (Sendinblue) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Brevo (Sendinblue) settings. Authentication allows you to use Brevo (Sendinblue) through Latenode.
Configure the Google Cloud BigQuery (REST) and Brevo (Sendinblue) 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 Brevo (Sendinblue) 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 Google Cloud BigQuery (REST), Brevo (Sendinblue), 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 Brevo (Sendinblue) integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Brevo (Sendinblue) (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 Brevo (Sendinblue)
Brevo (Sendinblue) + Google Cloud BigQuery (REST) + Google Sheets: When a marketing trigger is activated in Brevo, campaign data is sent to Google Cloud BigQuery for analysis. The results are then logged in a Google Sheet for tracking and reporting.
Brevo (Sendinblue) + Google Cloud BigQuery (REST) + Slack: On a marketing trigger from Brevo, email campaign data is sent to BigQuery for analysis. Key findings are then posted to a dedicated Slack channel to notify the marketing team.
Google Cloud BigQuery (REST) and Brevo (Sendinblue) 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 Brevo (Sendinblue)
Automate email marketing and SMS within Latenode. Connect Brevo (Sendinblue) to your workflows to trigger campaigns based on events in other apps. Enrich contact data, segment audiences, and personalize messages with Latenode's data manipulation and AI nodes. Ditch manual tasks; build scalable marketing automation at a fraction of the cost.
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FAQ Google Cloud BigQuery (REST) and Brevo (Sendinblue)
How can I connect my Google Cloud BigQuery (REST) account to Brevo (Sendinblue) using Latenode?
To connect your Google Cloud BigQuery (REST) account to Brevo (Sendinblue) 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 Brevo (Sendinblue) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update Brevo contacts with BigQuery customer data?
Yes, you can! Latenode enables seamless data flow for targeted campaigns. Enrich Brevo contact lists with real-time insights from Google Cloud BigQuery, boosting personalization.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Brevo (Sendinblue)?
Integrating Google Cloud BigQuery (REST) with Brevo (Sendinblue) allows you to perform various tasks, including:
- Segment Brevo contacts based on BigQuery customer behavior analysis.
- Automatically send personalized emails triggered by BigQuery data events.
- Update contact properties in Brevo with data from BigQuery queries.
- Create new Brevo contacts from BigQuery data warehouse entries.
- Analyze email campaign performance data stored in Google Cloud BigQuery.
How do I handle BigQuery's rate limits in Latenode?
Latenode's built-in rate limiting and error handling ensure smooth operations, preventing data loss when using Google Cloud BigQuery.
Are there any limitations to the Google Cloud BigQuery (REST) and Brevo (Sendinblue) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex BigQuery queries might require optimization for efficient data transfer.
- Initial setup requires familiarity with both Google Cloud BigQuery and Brevo APIs.
- Data transfer volume is subject to the limitations of both Google Cloud BigQuery and Brevo's APIs.