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

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Authenticate Kommo
Now, click the Kommo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Kommo settings. Authentication allows you to use Kommo through Latenode.
Configure the Google Cloud BigQuery and Kommo 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 Kommo 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, Kommo, 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 Kommo integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Kommo (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 Kommo
Kommo + Google Sheets: When a new lead is created in Kommo, its details are added as a new row in a Google Sheet, enabling sales data analysis and reporting.
Kommo + Slack: When a lead's status is updated in Kommo, send a notification to a Slack channel to keep the sales team informed of deal progress.
Google Cloud BigQuery and Kommo 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 Kommo
Integrate Kommo with Latenode to automate sales processes. Trigger actions in other apps when deals change status, or create Kommo leads from form submissions. Build custom workflows with no-code tools or JavaScript, scaling your sales automation without complex coding. Use Latenode's visual editor to connect Kommo to your entire tech stack.
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See how Latenode works
FAQ Google Cloud BigQuery and Kommo
How can I connect my Google Cloud BigQuery account to Kommo using Latenode?
To connect your Google Cloud BigQuery account to Kommo 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 Kommo accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Kommo sales data in Google Cloud BigQuery?
Yes, you can! Latenode automates data transfer, letting you analyze Kommo data in BigQuery. This gives you deeper sales insights, improving forecasting and targeting without coding.
What types of tasks can I perform by integrating Google Cloud BigQuery with Kommo?
Integrating Google Cloud BigQuery with Kommo allows you to perform various tasks, including:
- Syncing Kommo lead data to Google Cloud BigQuery for advanced analytics.
- Automating data backups from Kommo to Google Cloud BigQuery.
- Creating custom reports combining sales data with other business metrics.
- Triggering personalized Kommo communications based on Google Cloud BigQuery insights.
- Enriching Kommo contact profiles with data from Google Cloud BigQuery datasets.
Can Latenode handle large Google Cloud BigQuery datasets?
Yes, Latenode is designed to handle large datasets from Google Cloud BigQuery efficiently. Its architecture scales to manage substantial data volumes, ensuring smooth operation.
Are there any limitations to the Google Cloud BigQuery and Kommo integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data sync from Kommo to Google Cloud BigQuery might take time depending on the data volume.
- Real-time data synchronization depends on the API limits of both Google Cloud BigQuery and Kommo.
- Complex data transformations may require custom JavaScript code within Latenode.