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Apache Airflow vs Luigi

A side-by-side comparison of two self-hosted automation & workflows options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
AP Apache Airflow Programmatically author, schedule and monitor workflows VS LU Luigi Python module for building complex batch job pipelines
FeatureApache AirflowLuigi
Deploy effortUnder-an-hour setupRead-the-docs project
Health score100 · Excellent90 · Excellent
CategoryAutomation & WorkflowsAutomation & Workflows
LicenseApache-2.0Apache-2.0
LanguagePythonPython
Setup difficultyHardMedium
Min. RAM4,096 MB256 MB
Deploymentdocker, kubernetes, helmbare-metal, binary, source
GitHub stars★ 46,957★ 18,777
First released20152012
ReplacesAWS Step Functions, Azure Data FactoryAWS Step Functions

What are Apache Airflow and Luigi?

Apache Airflow

Apache Airflow is a platform to author, schedule and monitor workflows as directed acyclic graphs of tasks. It is widely used for data engineering pipelines and complex job orchestration.

  • Workflows defined as Python code
  • Rich scheduling and dependency management
  • Extensive operator and provider ecosystem
  • Web UI for monitoring DAGs

Read the full Apache Airflow guide →

Luigi

Luigi is a Python package that helps build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization and failure handling for long-running data tasks.

  • Dependency-driven batch pipelines
  • Central scheduler with web UI
  • Built-in support for Hadoop and databases
  • Simple Python task model

Read the full Luigi guide →

Apache Airflow vs Luigi: key differences

Both projects are written in Python. Luigi is the lighter option, starting around 256 MB of RAM against 4,096 MB for Apache Airflow. Luigi is the more established project (first released 2012), while Apache Airflow arrived in 2015. Apache Airflow has the considerably larger community, at 46,957 GitHub stars versus 18,777. Apache Airflow lists first-class Docker deployment; Luigi does not.

Why pick each one

Choose Apache Airflow if…

  • Industry standard for data pipelines
  • Huge ecosystem

Watch out for

  • Heavy to operate
  • Steep learning curve
Apache Airflow details

Choose Luigi if…

  • Lightweight and easy to start
  • Created and used by Spotify

Watch out for

  • Less actively developed than newer tools
Luigi details

Frequently asked questions

Is Apache Airflow or Luigi better?

Neither is universally better. Apache Airflow has the larger community, while Luigi is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.

Are Apache Airflow and Luigi free and open-source?

Yes. Apache Airflow is licensed under Apache-2.0 and Luigi under Apache-2.0. Both can be self-hosted at no software cost.

Can I run Apache Airflow and Luigi with Docker?

Apache Airflow: yes. Luigi: check the project docs for container support.

Which is lighter on resources, Apache Airflow or Luigi?

Luigi has the smaller minimum footprint at 256 MB of RAM, compared to about 4,096 MB for Apache Airflow. Real-world usage depends on library size, user count, and enabled features.

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