Dagster vs Prefect
A side-by-side comparison of two self-hosted automation & workflows options — licensing, setup difficulty, resource needs, and what each one replaces.
Dagster
Data orchestrator for the full development lifecycle
VS
Prefect
Modern workflow orchestration for data and Python pipelines
| Feature | Dagster | Prefect |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 95 · Excellent | 97 · Excellent |
| Category | Automation & Workflows | Automation & Workflows |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 1,024 MB |
| Deployment | docker, kubernetes, helm | docker, kubernetes, helm |
| GitHub stars | ★ 16,199 | ★ 23,913 |
| First released | 2019 | 2018 |
| Replaces | AWS Step Functions, Azure Data Factory | AWS Step Functions, Azure Data Factory |
What are Dagster and Prefect?
Dagster
Dagster is an orchestration platform for data assets that emphasizes testability and observability. It models pipelines around the assets they produce and can be fully self-hosted.
- Asset-oriented orchestration
- Built-in testing and typing
- Integrated data lineage
- Web-based control plane
Prefect
Prefect is a workflow orchestration tool that turns Python functions into observable, schedulable pipelines. The open-source server can be self-hosted to coordinate and monitor flow runs.
- Pythonic flow and task definitions
- Dynamic, event-driven workflows
- Self-hostable orchestration server
- Rich observability dashboard
Dagster vs Prefect: key differences
Both projects are written in Python. Prefect is the lighter option, starting around 1,024 MB of RAM against 2,048 MB for Dagster.
Why pick each one
Choose Dagster if…
- Strong developer tooling
- Great for data-centric teams
Watch out for
- Conceptual model takes time to learn
Choose Prefect if…
- Pleasant developer experience
- Flexible dynamic workflows
Watch out for
- Some features tied to Prefect Cloud
Frequently asked questions
Is Dagster or Prefect better?
Neither is universally better. Prefect has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Dagster and Prefect free and open-source?
Yes. Dagster is licensed under Apache-2.0 and Prefect under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Dagster and Prefect with Docker?
Dagster: yes. Prefect: yes.
Which is lighter on resources, Dagster or Prefect?
Prefect has the smaller minimum footprint at 1,024 MB of RAM, compared to about 2,048 MB for Dagster. Real-world usage depends on library size, user count, and enabled features.