Em breve
GitLab + Amazon S3
GitLab is an open-source code repository and collaborative software development platform for large DevOps and DevSecOps projects. Amazon S3, in turn, is a scalable AWS cloud storage service used to store and retrieve large volumes of data.
With Erathos, you can sync data from GitLab to 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 goes toward what truly creates value—uncovering actionable insights and making more data-driven decisions.
What GitLab data does Erathos sync to Amazon S3?
The integration automatically syncs GitLab's main 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 GitLab with Amazon S3?
Centralizing GitLab data in Amazon S3 removes the manual work of exports and spreadsheets—and lets your team combine that information with other sources for analyses that were previously impossible. An automatically updated data warehouse is the foundation for faster, more reliable decisions.
How it works
Erathos connects to GitLab 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. Every run is fully observable: runtime, rows processed, contextual errors, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for GitLab?
Ready-to-use GitLab connector
Connect GitLab to Amazon S3 in minutes with our native connector. Data is automatically synced—no code required, with complete observability for every run.
Total control over your GitLab 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 GitLab failures only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automatic alerts via Slack, Discord, or email the moment anything deviates from expected behavior — so your data stays fresh and ready for analysis.
Why companies move data from GitLab to Amazon S3 with Erathos
Centralizing GitLab data in Amazon S3 has never been easier
Erathos is a data ingestion platform built for reliability, visibility, and control. With the GitLab 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 GitLab to their data warehouse—with full observability into every pipeline run, zero maintenance, and none of the opacity of traditional market tools.
Which GitLab data does Erathos synchronize to Amazon S3?
Erathos automatically synchronizes the main GitLab objects and entities to Amazon S3. To check which specific tables and fields are available in the GitLab connector, see our documentation or contact our support team.
How often does Erathos synchronize data from GitLab to Amazon S3?
You can configure the 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 the GitLab pipeline efficient and Amazon S3 costs predictable.
What happens if a GitLab 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 GitLab connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect GitLab to Amazon S3 and start syncing immediately—no credit card required.