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GitLab + BigQuery
Gitlab is an open source code repository and collaborative software development platform for large-scale DevOps and DevSecOps projects. BigQuery, in turn, is a serverless Big Data solution developed by Google that delivers robust large-scale data storage and analytics capabilities.
With Erathos, you can integrate GitLab data into BigQuery in 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 team can focus on what really drives value — uncovering insights and making more data-driven decisions.
What Gitlab data does Erathos sync with BigQuery?
The integration automatically syncs GitLab's core 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 GitLab with BigQuery?
Centralizing GitLab data in BigQuery eliminates manual exports and spreadsheet work — and lets your team combine this 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 BigQuery 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: runtime, rows processed, 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 GitLab?
Ready-to-use GitLab connector
Connect GitLab to BigQuery in minutes with our native connector. Data is automatically synchronized—no code required, with full observability into every run.
Total control over your GitLab pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
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 GitLab data to BigQuery with Erathos
Centralizing GitLab data in BigQuery 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 BigQuery—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.
What GitLab data does Erathos synchronize to BigQuery?
Erathos automatically syncs the main GitLab objects and entities to BigQuery. To check which specific tables and fields are available in the GitLab connector, refer to our documentation or contact our support team.
How often does Erathos synchronize data from GitLab to BigQuery?
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 BigQuery 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 BigQuery and start syncing immediately—no credit card required.