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

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Authenticate Vitally
Now, click the Vitally node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Vitally settings. Authentication allows you to use Vitally through Latenode.
Configure the Google Cloud BigQuery and Vitally 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 Vitally 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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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Vitally, 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 Vitally integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Vitally (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 Vitally
Google Cloud BigQuery + Vitally + Slack: When Google Cloud BigQuery detects a drop in customer product usage, Vitally updates the user's record. Slack then sends a direct message to the relevant sales representative to investigate.
Vitally + Google Cloud BigQuery + Zendesk: When Vitally identifies a user segment flagged by Google Cloud BigQuery analysis, a Zendesk ticket is created to address potential issues or opportunities with that segment.
Google Cloud BigQuery and Vitally 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 Vitally
Use Vitally in Latenode to centralize customer success data and automate actions based on health scores. Sync data, trigger alerts for at-risk users, and personalize support workflows, all within Latenode's visual editor. Combine Vitally's insights with other tools for smarter, automated customer lifecycle management.
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See how Latenode works
FAQ Google Cloud BigQuery and Vitally
How can I connect my Google Cloud BigQuery account to Vitally using Latenode?
To connect your Google Cloud BigQuery account to Vitally 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 Vitally accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Vitally from BigQuery data?
Yes, you can! Latenode’s flexible scheduling lets you automatically sync data, providing up-to-date customer insights in Vitally without manual exports or complex coding.
What types of tasks can I perform by integrating Google Cloud BigQuery with Vitally?
Integrating Google Cloud BigQuery with Vitally allows you to perform various tasks, including:
- Enrich Vitally user profiles with BigQuery data insights.
- Automate customer segmentation based on BigQuery analysis.
- Trigger actions in Vitally based on BigQuery data changes.
- Create real-time dashboards combining data from both sources.
- Sync product usage data from BigQuery to Vitally for insights.
How secure is my BigQuery data when using Latenode integrations?
Latenode uses secure connections and encryption to protect your data during transfer and storage, adhering to industry security best practices.
Are there any limitations to the Google Cloud BigQuery and Vitally 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.
- API rate limits of Google Cloud BigQuery and Vitally still apply.