Airflow vs Luigi: What are the differences?
Airflow: A platform to programmaticaly author, schedule and monitor data pipelines, by Airbnb. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed; Luigi: *ETL and data flow management library *. It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Airflow and Luigi belong to "Workflow Manager" category of the tech stack.
Some of the features offered by Airflow are:
- Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.
- Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.
- Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.
On the other hand, Luigi provides the following key features:
- dependency resolution
- workflow management
Airflow and Luigi are both open source tools. Airflow with 13.3K GitHub stars and 4.91K forks on GitHub appears to be more popular than Luigi with 12K GitHub stars and 1.98K GitHub forks.
Airbnb, Slack, and 9GAG are some of the popular companies that use Airflow, whereas Luigi is used by 500px, Suggestic, and Tapingo. Airflow has a broader approval, being mentioned in 98 company stacks & 162 developers stacks; compared to Luigi, which is listed in 6 company stacks and 3 developer stacks.