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

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

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

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Authenticate Encharge
Now, click the Encharge node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Encharge settings. Authentication allows you to use Encharge through Latenode.
Configure the Google Cloud BigQuery and Encharge 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 and Encharge 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, Encharge, 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 and Encharge integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Encharge (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 and Encharge
Encharge + Slack: When a new person is added to Encharge, a message is sent to a Slack channel to notify the sales team.
Encharge + Google Sheets: When a person is updated in Encharge, a new row is added to Google Sheets with the updated information.
Google Cloud BigQuery and Encharge integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Encharge
Use Encharge in Latenode to automate personalized marketing. Build workflows that segment leads, trigger email sequences, and update customer profiles based on real-time behavior. Connect Encharge to any data source and use Latenode’s no-code tools or JavaScript to orchestrate sophisticated, event-driven campaigns without complex coding.
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See how Latenode works
FAQ Google Cloud BigQuery and Encharge
How can I connect my Google Cloud BigQuery account to Encharge using Latenode?
To connect your Google Cloud BigQuery account to Encharge on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Encharge accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I sync BigQuery data to Encharge users?
Yes, you can! Latenode lets you automate data syncing, updating Encharge user profiles from BigQuery. This keeps your marketing data current, enabling personalized campaigns.
What types of tasks can I perform by integrating Google Cloud BigQuery with Encharge?
Integrating Google Cloud BigQuery with Encharge allows you to perform various tasks, including:
- Automatically adding new BigQuery leads to Encharge as subscribers.
- Updating Encharge user properties based on BigQuery analysis results.
- Triggering Encharge email sequences based on BigQuery data thresholds.
- Segmenting Encharge users according to BigQuery-derived insights.
- Creating reports in Encharge using data from Google Cloud BigQuery.
How do I handle large datasets from Google Cloud BigQuery in Latenode?
Latenode efficiently processes large datasets using its scalable architecture, allowing you to transform and transfer data smoothly between Google Cloud BigQuery and Encharge.
Are there any limitations to the Google Cloud BigQuery and Encharge integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on dataset size.
- Complex data transformations might require custom JavaScript code.
- Real-time data updates are subject to Google Cloud BigQuery API limits.