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.
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Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
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.
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.
Data in your data warehouse in minutes
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.
Learn moreComplete 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.
Learn moreEnd-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.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for GitHub
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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.
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.
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.
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.
Yes. Every Erathos connector includes a 14-day free trial. Connect GitHub to Amazon S3 and start syncing immediately—no credit card required.