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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



Gitlab connector details
The GitLab connector continuously captures repository, project, and group data from GitLab (both cloud and self-hosted) into Estuary collections, enabling unified right-time visibility into your development lifecycle.
- Broad resource coverage: Captures key GitLab entities such as branches, commits, issues, pipelines, jobs, merge requests, projects, and users, providing a full picture of activity.
- Right-time synchronization: Streams data updates from GitLab’s API for dependable and current insights into engineering workflows.
- Flexible authentication: Supports both OAuth2 and Personal Access Token (PAT) authentication for secure, policy-aligned setup.
- Self-hosting ready: Works with both GitLab.com and self-managed GitLab instances, ideal for enterprises with on-prem infrastructure.
- Simple configuration: Define your groups, projects, and start date once — Estuary automatically maps all supported GitLab resources to Flow collections.
💡 Tip: For large GitLab organizations, authenticate with OAuth and use organization-level access (group/*) to capture all projects without needing to specify each one individually.


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Gitlab in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Gitlab insights always reflect the latest data by connecting your databases to Gitlab with change data capture.
- Or connect critical SaaS apps to Gitlab with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |

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