Create Google BigQuery row from new GitHub issue
GitHub + Google BigQuery Integration
Google BigQuery + GitHub Integration
Integrate GitHub to Google BigQuery in one click, or tell Integrately AI how you want each commit handled. Store commit details, query analytics data, update reports, and track software metrics automatically.
Free forever.Use premium features free for 14 days.1.
Commit is created in GitHub- Issue is created in GitHub
- Repo issue is created in GitHub
- Issues assigned to me from a GitHub organization in GitHub
- Repository is created in GitHub
- Pull request is created in GitHub
- Release is created in GitHub
- Repo event is created in GitHub
- Commit comment is created in GitHub
- Gist is created in GitHub
- Team is created in GitHub
- Milestone is created in GitHub
- Branch is created in GitHub
- Organization is created in GitHub
- Label is created in GitHub
- Collaborator is created in GitHub
2.
Create row in Google BigQuery- Create issue in GitHub
- Update issue in GitHub
- Create an issue comment in GitHub
- Create pull request in GitHub
- Update pull request in GitHub
- Create gist in GitHub
- Search Repository in GitHub
- Search user in GitHub
- Search pull requests in GitHub
- Delete branch protection in GitHub
- Search issue in GitHub
Trusted by experts at...
Ready Workflows for GitHub + Google BigQuery Integration
Track repository commits, log issue updates, organise project milestones, analyse code metrics, and update your data warehouse, all in just one click.
Most popular automation
- 1of1
Got a different automation in mind? Describe it and let Integrately AI build it for you.
Connect more apps to your GitHub + Google BigQuery flow
Track software delivery metrics in your data warehouse while keeping your team and project management tools in sync. Pick a combination and activate it in one click.
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Jira Software Cloud (4)
Jira Software Cloud (4) +
Slack (4)
Slack (4) +
Confluence (4)
Confluence (4) +
Sentry (4)
Sentry (4) +
Datadog (4)
Datadog (4) +
PagerDuty (4)
PagerDuty (4) G
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Create a Google BigQuery row for every new GitHub commit, and create an issue in Jira Software Cloud.
Every new GitHub commit is logged to Google BigQuery instantly while a tracking issue is created in Jira Software Cloud, so developer activity is always recorded.
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Log every new GitHub issue in Google BigQuery, and update the matching issue status in Jira Software Cloud.
New GitHub issues appear in Google BigQuery the moment they are raised and update your project tracking in Jira Software Cloud automatically.
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When a GitHub pull request is created, log the details in Google BigQuery and create a review task in Jira Software Cloud.
Pull requests are recorded in Google BigQuery immediately while Jira Software Cloud creates a review task for your engineering team.
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Use Claude to summarise every new GitHub release, log the summary in Google BigQuery, and create a release task in Jira Software Cloud.
Claude generates clean summaries of every GitHub release before Google BigQuery stores them and Jira Software Cloud schedules follow-up tasks.
Supported triggers and actions for Google BigQuery and GitHub
Mix and match to build the exact automation you need
Google BigQuery Triggers & Actions
GitHub Triggers & Actions
Issues assigned to me from a GitHub organization in GitHub
Triggers the automation when a GitHub issue is assigned to the particular user
Try it → Pull request is created in GitHub
Triggers the automation when a new pull request is created
Try it → Commit comment is created in GitHub
Triggers the automation when a comment is added to a commit in the repository
Try it → Branch is created in GitHub
Triggers the automation when a new branch is created in a git repository
Try it → Organization is created in GitHub
Triggers the automation when a new organization is created
Try it → Collaborator is created in GitHub
Triggers the automation when a new event or workout session is scheduled
Try it → What can you automate with GitHub + Google BigQuery?
Streamline your software analytics by automatically syncing code events, issues, and repository data directly into your cloud data warehouse.
📊
Log every GitHub commit into Google BigQuery automatically
Capture every code commit as it happens and write the complete payload straight into your cloud data warehouse. Your analytics dashboards update instantly without manual exports.
📝
Capture every submitted issue field in one row
Map all issue attributes, labels, and author metadata into separate Google BigQuery columns. Your data warehouse becomes a richer source for engineering reviews.
🔔
Tell the right team member as soon as events occur
Trigger instant notifications in your team chat whenever critical repository events or pull requests are created. Keep stakeholders informed without checking multiple tools.
🔀
Route records conditionally based on submitted labels
Apply custom logic to route repository events differently depending on whether an issue is marked as a bug, feature, or urgent task. Ensure every item reaches the right analytical table.
🔄
Keep your data warehouse up to date as issues evolve
Automatically update existing rows in Google BigQuery whenever a GitHub issue status or pull request changes state. Eliminate duplicate records and maintain clean data.
🔍
Search and upsert records instead of creating duplicates
Check whether a repository issue or user already exists in Google BigQuery before creating a new entry. Keep your analytical datasets clean and well-organised.
🏷️
Handle later status changes like releases and closures
Automatically update your warehouse rows when pull requests are merged, issues are closed, or new software versions are released in your repositories.
🔗
Extend your workflow to team communication tools
Connect your GitHub and Google BigQuery pipeline directly to Slack to broadcast deployment alerts and summary reports the moment data is saved.
And much more...
Who is GitHub + Google BigQuery integration for?
Engineering leaders, data analysts, and project managers rely on this integration to eliminate manual reporting and keep software metrics continuously updated.
Data analysts
Engineering managers
Technical account managers
DevOps engineers
QA leads
Compliance officers
📈
Data analysts
You're querying repository metrics but your data warehouse only updates when someone manually exports commit logs, so the dashboards you're reviewing are always a few hours behind — this integration means every new commit lands in the warehouse instantly and your analytics stay current.
⚡
Engineering managers
You need to track team velocity and deployment frequency, but waiting for manual reports leaves you finding out about bottlenecks too late — with this integration, every issue and pull request is logged immediately and your delivery metrics update in real time.
🤝
Technical account managers
You answer to clients who want clear progress updates on bug fixes, but compiling commit history by hand takes hours — automating both apps means every resolved issue is captured instantly and your client reporting is always accurate.
⚙️
DevOps engineers
The volume of code releases and repository events is too high for anyone to keep track of manually in spreadsheets — connecting these apps means every release is archived without effort and your deployment history remains pristine.
📋
QA leads
You depend on developers to hand over pull request details before you can begin testing, causing constant delays in your workflow — this integration means every pull request creates a row instantly and your testing pipeline starts without friction.
🛡️
Compliance officers
You need a reliable audit history of every repository event, but manual logging keeps leaving frustrating gaps in your records — automating both apps means every commit and release is recorded securely and your compliance logs have zero missing entries.
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Why choose Integrately to automate Google BigQuery + GitHub
Build and manage your Google BigQuery + GitHub automations with ready-made flows, AI assistance, 24x5 reliable human support, and enterprise-grade security.
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Frequently Asked Questions
How do I connect GitHub to Google BigQuery?
You can connect GitHub and Google BigQuery in minutes using Integrately. Choose from 1-click ready templates or ask Integrately AI to build your custom workflow combining GitHub, Google BigQuery, and tools like Slack or Jira Software Cloud.
Can I automatically log every GitHub commit into Google BigQuery?
Can I connect GitHub, Google BigQuery, and Slack?
What is a good Zapier alternative for GitHub and Google BigQuery?
How are repository issues synced from GitHub to Google BigQuery?
Can I sync pull requests and release data into Google BigQuery?
Do I need coding skills to automate GitHub and Google BigQuery?
Is the GitHub and Google BigQuery integration free?
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