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

Add the Delighted Node
Select the Delighted node from the app selection panel on the right.

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

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Delighted and Google Cloud BigQuery 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 Delighted and Google Cloud BigQuery 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 Delighted, Google Cloud BigQuery, 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 Delighted and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Delighted and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Delighted and Google Cloud BigQuery
Delighted + Google Cloud BigQuery + Slack: When a new response is received in Delighted, the data is sent to Google Cloud BigQuery to be stored. If the survey score drops below a specified threshold (which can be determined by a query in BigQuery), a notification is sent to a Slack channel.
Delighted + Google Cloud BigQuery + Google Sheets: When a new response is received in Delighted, the data is sent to Google Cloud BigQuery. BigQuery analyzes survey responses to identify trends. Then, summarized data from BigQuery is exported to Google Sheets for reporting and visualization.
Delighted and Google Cloud BigQuery integration alternatives
About Delighted
Automate feedback loops with Delighted in Latenode. Send surveys post-interaction and instantly act on results. Route scores to your team's Slack, update records in your CRM, or trigger follow-ups based on sentiment. Build adaptable workflows with no-code tools, custom logic, and AI — all without per-step costs.
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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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See how Latenode works
FAQ Delighted and Google Cloud BigQuery
How can I connect my Delighted account to Google Cloud BigQuery using Latenode?
To connect your Delighted account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Delighted and click on "Connect".
- Authenticate your Delighted and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze survey trends over time using Delighted and Google Cloud BigQuery integration?
Yes, you can! Latenode enables seamless data transfer. Analyze Delighted survey responses in BigQuery for long-term trend identification and actionable insights, all without coding.
What types of tasks can I perform by integrating Delighted with Google Cloud BigQuery?
Integrating Delighted with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically back up Delighted survey data to Google Cloud BigQuery.
- Visualize survey responses in custom dashboards within BigQuery.
- Trigger alerts based on survey feedback thresholds using BigQuery analysis.
- Enrich survey data with other business data stored in Google Cloud BigQuery.
- Create custom reports combining survey data with other metrics using SQL.
How secure is my Delighted data when using Latenode integrations?
Latenode uses secure authentication and encryption to ensure the privacy and integrity of your Delighted data during integration with Google Cloud BigQuery.
Are there any limitations to the Delighted and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data transfer might take time depending on the data volume.
- Complex data transformations might require custom JavaScript code.
- Certain advanced BigQuery features may require manual configuration.