

REAL-TIME ETL & CDC
Move your data from Gitlab with your free account
Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 200+ Connectors
- 2-5x less than batch ELT
01. Move from Gitlab02. Transform in-flight03. Select a destination


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.
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
Sync to your destination
Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.
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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 200+ 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.
See how you can integrate Gitlab with any destination:
or choose from these popular data sources:
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 | ||||
| Maintenance Effort | Low | Medium | High | High |

Deliver real-time and batch data from DBs, SaaS, APIs, and more


Apache Iceberg

Databricks

MotherDuck

MySQL

Amazon Redshift

PostgreSQL

Snowflake

Elastic

Google Bigquery

Bauplan

Google Spanner

SingleStore

Supabase

Azure Blob Storage Parquet

RisingWave

Materialize

Imply Polaris

ClickHouse

Bytewax

SingleStore Dekaf

StarTree

CrateDB (Beta)

Tinybird

Azure Fabric Warehouse

Dekaf

Apache Kafka

Amazon S3 Iceberg (delta updates)

Google Cloud Storage CSV

Google GCS Parquet

Amazon S3 CSV

Starburst Galaxy (Beta)

Amazon RDS for PostgreSQL

Amazon RDS for MariaDB

Amazon RDS for SQL Server

Amazon RDS for MySQL

Google Cloud SQL for SQL Server

Google Cloud SQL for PostgreSQL

Google Cloud SQL for MySQL

Oracle MySQL Heatwave

Amazon Aurora for MySQL

MariaDB

Amazon DynamoDB

SQL Server

HTTP Webhook

Pinecone

Slack

Azure Cosmos DB

Amazon Aurora for Postgres

SQLite

MongoDB

Alloy DB for Postgres

Timescale

Google PubSub

Google Sheets

Firebolt

Amazon S3 Parquet












































