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GitHub + Amazon S3
GitHub is a platform for developers that enables the creation, hosting, and collaboration on code repositories, with version control through Git. Amazon S3, in turn, is a scalable AWS cloud storage service used to store and retrieve large volumes of data.
With Erathos, you can integrate data from GitHub into Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your data warehouse. That way, your time is spent on what really creates value — uncovering actionable insights and making more data-driven decisions.
What GitHub data does Erathos sync to Amazon S3?
The integration automatically syncs GitHub's key objects:
Core 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 Amazon S3?
Centralizing GitHub data in Amazon S3 eliminates the manual work of exports and spreadsheets — and lets your team combine this information with other sources for analyses that used to be impossible. 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 Amazon S3 costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is tracked with full observability: runtime, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for GitHub?
GitHub connector ready to use
Connect GitHub to Amazon S3 in minutes with our native connector. Data is synchronized automatically—no code required, with full observability for every run.
Complete control over your GitHub pipelines
Configure the frequency, partitioning, and format of files generated in S3. Data arrives organized by date and time—ready for Athena, Spark, or any tool.
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 Data from GitHub to Amazon S3 with Erathos
Centralizing GitHub data in Amazon S3 has never been easier.
Erathos is a data ingestion platform built for reliability, visibility, and control. With the GitHub connector, you automatically move operational and business data to Amazon S3—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 Amazon S3?
Erathos automatically syncs the main GitHub objects and entities to Amazon S3. 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 Amazon S3?
You can configure sync 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 your GitHub pipeline efficient and Amazon S3 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 Amazon S3 and start syncing immediately—no credit card required.