Cost / License
- Freemium
- Proprietary
Application type
Platforms
- Windows
- Linux
- Self-Hosted
- Snapcraft
- FreeBSD
- Cloudron
- Docker




Azkaban is described as 'Batch workflow job scheduler created at LinkedIn to run Hadoop jobs. Azkaban resolves the ordering through job dependencies and provides an easy to use web user interface to maintain and track your workflows' and is an app. There are more than 10 alternatives to Azkaban for a variety of platforms, including Linux, SaaS, Self-Hosted, Web-based and Windows apps. The best Azkaban alternative is CTFreak, which is free. Other great apps like Azkaban are Apache Airflow, Zenaton, RunDeck and StackStorm.




Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.




Zenaton is a developer tool and hosted workflow engine for writing, running and monitoring all of your background processes whether it is a single task or a long running workflow. It allows developers to easily integrate third party services and APIs iby triggering tasks and...




RunDeck is an open source automation service with a web console, command line tools and a WebAPI. It lets you easily run automation tasks across a set of nodes.




StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built with love for DevOps and ChatOps.
Shipyard’s your go-to cloud-based DataOps platform for secure data extraction, transformation, reverse ETL, workflow orchestration, monitoring, alerting, and more.

Easily deploy, schedule, manage and monitor tasks and workflows. Create complex workflows in seconds. Deploy tasks to AWS.



Luigi 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.


Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical...