Move your data from Gitlab with your free account

Capture data from Gitlab and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Move from Gitlab02. Transform in-flight03. Select a destination

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 data 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.

For more details about the Gitlab connector, check out the documentation page.

How to connect Gitlab to your destination in 3 easy steps

1
Connect Gitlab as your data source
Securely connect Gitlab and choose the objects, tables, or collections you need to sync.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Gitlab using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect Gitlab to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse Gitlab data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send Gitlab data:

Search for any source

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Details

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High