Apache Airflow vs Prefect: Which is Better in 2026?
Apache Airflow and Prefect are both Data Orchestration tools, made for different people. Apache Airflow is for data teams that want a vendor-neutral orchestrator with a large integration ecosystem, self-hosted or rented from a managed provider. Prefect is for Python developers and data scientists who want to make existing scripts retryable and observable without restructuring them.
Quick verdict
There’s no single winner; pick on your constraint. Choose Apache Airflow if you want the orchestrator most data engineers have already used. Choose Prefect if your workflows are already Python functions and you want minimal changes.
Apache Airflow vs Prefect: Side by Side
| Apache Airflow | Prefect | |
|---|---|---|
| Category | Data Orchestration | Data Orchestration |
| What it is | Open-source workflow orchestrator | Python workflow orchestrator |
| Workflows written in | Python (other languages from 3.4) | Python |
| Licence | Apache 2.0 | Apache 2.0 |
| Managed option | Third-party: Astronomer, MWAA, Cloud Composer | Prefect Cloud, free Hobby tier |
| Free access | Free | Free Hobby plan |
| Pricing | Free | Free · paid from $100/mo |
| Starting price | Free tier available | Free tier available |
| Free tier | ||
| Rating | 4.5 | 4.5 |
| Best for | Data Orchestration: open source, Python DAGs, integrations | Data Orchestration: Python-native, free cloud tier, flows |
Ratings are App Stack Builder’s editorial score out of 5, not an average of user reviews.
Pros & Cons
- Free and vendor-neutral
- Huge integration catalogue
- Easy to hire for
- Managed versions on every big cloud
- Running the scheduler and workers yourself is real work
- Task-centric rather than data-asset-centric
- Local development is heavier than newer tools
- Plain Python with almost no boilerplate
- Free cloud tier for small teams
- Apache 2.0 engine
- Runs work anywhere
- Team plan priced per user
- Fewer prebuilt integrations than Airflow
- Major versions have changed the API before
Key Features Compared
Apache Airflow
- Apache Software Foundation project, free to run
- Workflows (DAGs) written in Python, with a web UI to monitor and rerun tasks
- Airflow 3.4.0 (November 2026) adds task loops, DAGs in any language and AI agent tasks
- Provider packages for the major clouds and data tools
- Managed hosting from Astronomer, Amazon MWAA or Google Cloud Composer
Prefect
- Engine is Apache 2.0
- Hobby: free, 2 users, 1 workspace, 5 deployments, 500 serverless minutes
- Starter: $100 a month, 3 users, 20 deployments, 75 hours of serverless compute
- Team: $100 per user a month, 100 deployments, 225 serverless hours
- Enterprise: custom, billed yearly, 5+ users and unlimited deployments
Choose Apache Airflow if…
- You want the orchestrator most data engineers have already used.
- You need ready-made operators for many cloud services.
- You want to switch between self-hosted and managed without rewriting DAGs.
Choose Prefect if…
- Your workflows are already Python functions and you want minimal changes.
- You want a free hosted tier for a small team.
- You run work on mixed infrastructure: laptops, Kubernetes and serverless.
Frequently Asked Questions
Is Apache Airflow better than Prefect?⌄
There’s no single winner; pick on your constraint. Choose Apache Airflow if you want the orchestrator most data engineers have already used. Choose Prefect if your workflows are already Python functions and you want minimal changes.
What is the difference between Apache Airflow and Prefect?⌄
What it is. Apache Airflow: Open-source workflow orchestrator. Prefect: Python workflow orchestrator. Workflows written in. Apache Airflow: Python (other languages from 3.4). Prefect: Python. Managed option. Apache Airflow: Third-party: Astronomer, MWAA, Cloud Composer. Prefect: Prefect Cloud, free Hobby tier. Free access. Apache Airflow: Free. Prefect: Free Hobby plan.
Apache Airflow vs Prefect: which is cheaper?⌄
Apache Airflow pricing: Free. Prefect pricing: Free · paid from $100/mo. Confirm current pricing on each tool's official site, as plans change.
Which is rated higher, Apache Airflow or Prefect?⌄
On our editorial score, Apache Airflow is 4.5 out of 5 and Prefect is 4.5 out of 5, so they are level. This is our own score, not an average of user reviews.
When should I skip both Apache Airflow and Prefect?⌄
Skip Apache Airflow if you think in tables and models rather than tasks. Dagster’s asset model fits that. Skip Prefect if you want data-asset lineage built in. Dagster models pipelines that way.
Sources · tool facts checked November 2026
See more options in our guide to the best data orchestration tools for startups.
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