GitHub + Amazon S3
GitHub is the world’s leading platform for code hosting, Git-based version control, and software development collaboration. Engineering teams centralize repositories, pull requests, code reviews, issues, and org member activity in GitHub, making it one of the richest sources of data on software throughput, quality, and productivity.
In practice, GitHub acts as the operating system for software delivery: from commit to merge, from bug report to closed issue, every engineering productivity signal is captured there, ready to be joined with product, support, and business data in a data warehouse.
With Erathos, you can integrate GitHub data into Amazon S3 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 time goes to what actually creates value — extracting actionable insights and making more data-driven decisions.
What GitHub data does Erathos sync to Amazon S3?
The integration automatically syncs GitHub’s core objects:
Repositories — name, organization, language, default branch, issue count, and activity dates
Pull requests — author, reviewers, status, open, closed, and merge dates
Issues — author, assignees, labels, status, milestone, and dates
Commits — author, message, date, and repository
Org members — users, login, roles, and membership dates
Why sync GitHub with Amazon S3?
In Amazon S3, engineering data is available in an open format, ready to query with Athena, Spark, Trino, or any data lake engine — useful for closing DORA metrics, demonstrating access controls for audits, and archiving PR, issue, and commit history at low cost.
How it works
Erathos connects to GitHub via 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 5 minutes to daily), which objects to sync, and the target dataset. Each run is fully observable: execution time, processed rows, contextual errors, 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 and automatically export repositories, pull requests, issues, commits, and org members. Centralized engineering data to power DORA metrics and engineering analytics — no CSVs, no scripts.
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 for data teams. With the GitHub connector, you automatically export repositories, pull requests, issues, commits, and org members to Amazon S3 — centralized engineering data ready to power DORA metrics, measure review bottlenecks, and provide evidence for audit controls.
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 syncs repositories, pull requests, issues, commits, and GitHub org members to Amazon S3. Data ready to power DORA metrics, measure PR lead time, identify review bottlenecks, and provide audit-ready access control evidence.
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.