Quick comparison # App Pricing Verified price Open source Platforms Verified facts Score 1 Apache AirflowOpen source — Yes Linux, Self-hosted, Web 5 of 5 61.8 2 PrefectOpen source $100/month Yes Web, Linux, macOS +2 5 of 5 59.4 3 Argo WorkflowsOpen source — Yes Self-hosted 4 of 4 57.5
1 Best for: Data engineering teams that want a proven, free orchestrator with a huge integration ecosystem
Open source Self-hostable Linux, Self-hosted, Web
Why switch from Amazon MWAA
Self-host the open-source project for free if you can run and scale it yourself.
Pros Free and open source with a very large community Pipelines are plain Python, so they can be generated dynamically Hundreds of ready-made operators for clouds and data tools Managed versions available from several cloud providersCons Running scheduler, workers and metadata database yourself takes real ops effort Local development and testing are clunkier than in newer tools like Prefect or Dagster No official hosted service from the Apache project itselfHow this score is calculated Editorial fit ×0.3 77
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
2 Best for: Python teams who want orchestration without rewriting code into a separate DAG framework
Open source Self-hostable Web, Linux, macOS, Windows, Self-hosted
Why switch from Amazon MWAA
Python-first orchestration with a free tier and a hybrid model that keeps execution on your infrastructure.
Pros Plain Python with a decorator, little new to learn Free hosted Hobby tier and a self-hostable open source server Runs on your own compute, Kubernetes or serverlessCons Free cloud tier is limited to 2 users and 5 deployments Smaller integration ecosystem than Airflow Paid plans jump quickly from a flat fee to per-user pricingHow this score is calculated Editorial fit ×0.3 69
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula
3 Best for: Platform teams already on Kubernetes who want container-native batch and ML pipelines.
Open source Self-hostable Self-hosted
Why switch from Amazon MWAA
Runs each step as a container on Kubernetes, so teams already on EKS can orchestrate jobs without an Airflow environment.
Pros Free, Apache 2.0 licensed CNCF project Any language works, since each step is a container Handles large parallel jobs on Kubernetes Python users can define workflows with HeraCons Requires a Kubernetes cluster YAML definitions get verbose for data engineers used to Python No hosted version from the project itselfHow this score is calculated Editorial fit ×0.3 63
Reviews ×0.3 63
Clicks (90 days) ×0.15 0
Freshness ×0.15 100
Votes ×0.1 50
0 counted reviews, 0 up and 0 down votes. Full formula