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

Google Cloud BigQuery
⚙

Jira

Authenticate Jira
Now, click the Jira node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Jira settings. Authentication allows you to use Jira through Latenode.
Configure the Google Cloud BigQuery and Jira 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 Jira 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙

Jira
Trigger on Webhook
⚙
Google Cloud BigQuery
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Jira, 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 Jira integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Jira (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 Jira
Jira + Slack: When a Jira issue is updated, a message is sent to a designated Slack channel to notify project managers of the changes.
Jira + Google Sheets: When a Jira issue is updated, specifically when it transitions to a resolved state, the issue details are added as a new row in a Google Sheet for tracking and analysis.
Google Cloud BigQuery and Jira 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.
Similar apps
Related categories

About Jira
Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.
Related categories
See how Latenode works
FAQ Google Cloud BigQuery and Jira
How can I connect my Google Cloud BigQuery account to Jira using Latenode?
To connect your Google Cloud BigQuery account to Jira 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 Jira accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate Jira issue creation from BigQuery data?
Yes, you can! Latenode's visual editor makes it simple to trigger Jira issue creation based on conditions evaluated from your Google Cloud BigQuery data, streamlining workflows and improving response times.
What types of tasks can I perform by integrating Google Cloud BigQuery with Jira?
Integrating Google Cloud BigQuery with Jira allows you to perform various tasks, including:
- Automatically create Jira tickets for database anomalies detected in BigQuery.
- Update Jira issue fields with data insights derived from BigQuery analysis.
- Trigger BigQuery data exports based on Jira issue status changes.
- Generate reports in BigQuery based on Jira project timelines and progress.
- Synchronize user data between BigQuery and Jira for unified access control.
Can I use JavaScript to transform BigQuery data before sending to Jira?
Yes, Latenode allows you to use JavaScript code to transform and format data from Google Cloud BigQuery before it is sent to Jira, providing ultimate control.
Are there any limitations to the Google Cloud BigQuery and Jira integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require advanced JavaScript knowledge.
- The number of concurrent API requests to both Google Cloud BigQuery and Jira is subject to rate limits.
- Historical data migration between Google Cloud BigQuery and Jira may require manual setup.