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.
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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 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.
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.
Data in your data warehouse in minutes
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.
Learn moreTotal 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.
Learn moreEnd-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.
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 GitLab
Other sources that land in BigQuery
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 GitLab to their data warehouse—with full observability into every pipeline run, zero maintenance, and none of the opacity of traditional market tools.
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.
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.
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 GitLab to BigQuery and start syncing immediately—no credit card required.