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GitHub + BigQuery
GitHub is a platform for developers that enables code repository creation, hosting, and collaboration, with Git-based version control. BigQuery, on the other hand, is a serverless big data solution from Google that provides powerful large-scale data storage and analytics capabilities.
With Erathos, you can integrate data from GitHub into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you join that data with other sources in your data warehouse. That way, your team can focus on what truly creates value—surfacing actionable insights and making more data-driven decisions.
What GitHub data does Erathos sync with BigQuery?
The integration automatically syncs GitHub’s core objects:
Main entities — objects and records synced automatically
Custom fields — custom properties included in the sync
Historical data — full initial load and incremental updates
Why sync GitHub with BigQuery?
Centralizing GitHub data in BigQuery eliminates manual exports and spreadsheet work—and gives your team the ability to combine this information with other sources for analyses that would have been impossible before. An automatically updated data warehouse is the foundation for faster, more reliable decisions.
How it works
Erathos connects to GitHub through the official API and syncs your data incrementally—only new or updated records are processed on each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: execution time, processed rows, context-rich errors, and instant alerts via Slack or email if something goes wrong.
No credit card required.
Why do data teams choose Erathos for GitHub?
GitHub connector ready to use
Connect GitHub to BigQuery in minutes with our native connector. Data is synced automatically—no code required, with full observability for every run.
Complete control over your GitHub pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
End-to-end observability
Stop finding out about GitHub failures only after the business team complains. Every run is logged with runtime, rows processed, and error context. Get automatic alerts via Slack, Discord, or email as soon as anything goes off track — so your data stays up to date and ready for analysis.
Why Companies Move GitHub Data to BigQuery with Erathos
Centralizing GitHub data in BigQuery has never been this simple
Erathos is a data ingestion platform built for reliability, visibility, and control. With the GitHub connector, you can automatically move operational and business data to BigQuery—with full observability into every run and zero maintenance.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like GitHub to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity found in traditional market tools.
What GitHub data does Erathos sync to BigQuery?
Erathos automatically syncs the main GitHub objects and entities to BigQuery. To check which specific tables and fields are available in the GitHub connector, see our documentation or contact our support team.
How often does Erathos synchronize data from GitHub to BigQuery?
You can configure synchronization frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the GitHub pipeline efficient and BigQuery costs predictable.
What happens if a GitHub sync fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the GitHub connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect GitHub to BigQuery and start syncing immediately—no credit card required.