GitHub + Databricks
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 review, issues, and organization member activity in GitHub, making it one of the richest sources of data on software throughput, quality, and productivity.
In practice, GitHub works like 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 Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to combine that data with other sources in your Data Warehouse. That way, your time goes toward what truly creates value — uncovering actionable insights and making more data-driven decisions.
What GitHub data does Erathos sync with Databricks?
The integration automatically syncs GitHub’s main 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
Organization members — users, login, roles, and membership dates
Why sync GitHub with Databricks?
In Databricks, engineering data lives in the same lakehouse where your team runs ML models and advanced analytics — making it easy to close DORA metrics, build predictive models for delivery risk, and correlate engineering productivity with product signals.
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 Databricks costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is fully observable: execution time, processed rows, context-rich 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 Databricks and automatically export repositories, pull requests, issues, commits, and org members. Centralized engineering data to power DORA metrics and engineering analytics — without CSVs or scripts.
Complete control over your GitHub pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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 Databricks with Erathos
Centralizing GitHub data in Databricks 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 Databricks — centralized engineering data ready to power DORA metrics, measure review bottlenecks, and provide evidence of controls for audits.
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 Databricks?
Erathos syncs GitHub repositories, pull requests, issues, commits, and org members to Databricks. Data ready to calculate DORA metrics, measure PR lead time, identify review bottlenecks, and demonstrate access controls for audits.
How often does Erathos synchronize data from GitHub to Databricks?
You can configure sync frequency at the table level, from every 5 minutes up to once per day. Erathos uses incremental synchronization—only new or updated records are processed in each run—keeping your GitHub pipeline efficient and your Databricks 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 Databricks and start syncing immediately—no credit card required.