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

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Authenticate SmartSuite
Now, click the SmartSuite node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SmartSuite settings. Authentication allows you to use SmartSuite through Latenode.
Configure the Google Cloud BigQuery (REST) and SmartSuite 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 SmartSuite 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 (REST), SmartSuite, 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 SmartSuite integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and SmartSuite (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 SmartSuite
SmartSuite + Google Sheets + Slack: When a record is updated in SmartSuite, relevant data is retrieved and added as a new row to a Google Sheet. A summary of the update is then posted to a designated Slack channel.
SmartSuite + Google Sheets + Google Sheets: When a new record is created in SmartSuite, the data is added as a new row in Google Sheets. Additionally, a specific cell in another Google Sheet is updated to reflect the total number of records.
Google Cloud BigQuery (REST) and SmartSuite 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 SmartSuite
Use SmartSuite in Latenode to build flexible data workflows. Automate tasks like project management, CRM updates, or inventory tracking. Latenode adds custom logic, AI processing, and file handling to SmartSuite's structured data, creating scalable solutions that go beyond basic automation.
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FAQ Google Cloud BigQuery (REST) and SmartSuite
How can I connect my Google Cloud BigQuery (REST) account to SmartSuite using Latenode?
To connect your Google Cloud BigQuery (REST) account to SmartSuite 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 SmartSuite accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze SmartSuite data in Google Cloud BigQuery (REST)?
Yes, you can! Latenode allows you to automatically export and analyze SmartSuite data in Google Cloud BigQuery (REST). Gain valuable insights and improve decision-making using advanced analysis tools.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with SmartSuite?
Integrating Google Cloud BigQuery (REST) with SmartSuite allows you to perform various tasks, including:
- Sync SmartSuite records as new rows in Google Cloud BigQuery (REST) datasets.
- Trigger SmartSuite updates based on Google Cloud BigQuery (REST) data changes.
- Automate data warehousing processes using Latenode's visual interface.
- Generate reports in SmartSuite based on queries from Google Cloud BigQuery (REST).
- Analyze SmartSuite project progress and budget in Google Cloud BigQuery (REST).
HowsecureistheGoogleCloudBigQuery(REST)SmartSuiteintegration?
Latenode uses secure authentication methods and encrypts data in transit, ensuring your Google Cloud BigQuery (REST) and SmartSuite data is protected.
Are there any limitations to the Google Cloud BigQuery (REST) and SmartSuite integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Cloud BigQuery (REST) API rate limits.
- Complex data transformations may require custom JavaScript code.
- Initial setup requires familiarity with both Google Cloud BigQuery (REST) and SmartSuite.