Stream data from Gitlab to Amazon Redshift
Sync your Gitlab data with Amazon Redshift in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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.

Amazon Redshift connector details
The Amazon Redshift connector materializes Flow collections into Redshift tables using S3 as a secure staging layer for high-performance data loading. It ensures exactly-once delivery with optimized bulk loading and schema management. Designed for scalability, it handles both historical backfills and continuous data updates seamlessly.
- Materializes data into Redshift tables with exactly-once delivery
- Uses S3 staging for fast, reliable data transfer
- Supports standard and delta updates
- Works with SSL or SSH tunneling for secure connectivity
- Secure deployment within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: For best performance, keep one materialization per schema and ensure your Redshift cluster and S3 bucket are in the same AWS region.
How to integrate Gitlab with Amazon Redshift in 3 simple steps using Estuary Flow
Connect Gitlab as Your Real-Time Data Source
Set up a real-time source connector for Gitlab in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon Redshift as Your Target
Choose Amazon Redshift as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Gitlab connector.
- Enter Details: Add your Gitlab connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Gitlab capture, and publish.
What is Gitlab?
How do I Transfer Data from Gitlab?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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