Dagster vs Prefect: Which is Better in 2026?
Dagster and Prefect are both Data Orchestration tools, made for different people. Dagster is for data engineers who want pipelines described as the tables and models they produce, with lineage built in. 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 Dagster if you want lineage and freshness tracked without extra tools. Choose Prefect if your workflows are already Python functions and you want minimal changes.
Dagster vs Prefect: Side by Side
| Dagster | Prefect | |
|---|---|---|
| Category | Data Orchestration | Data Orchestration |
| What it is | Asset-based data orchestrator | Python workflow orchestrator |
| Workflows written in | Python | Python |
| Licence | Apache 2.0 | Apache 2.0 |
| Managed option | Dagster+ from $10 a month | Prefect Cloud, free Hobby tier |
| Free access | Open source; 30-day Dagster+ trial | Free Hobby plan |
| Pricing | Free · paid from $10/mo | Free · paid from $100/mo |
| Starting price | Free tier available | Free tier available |
| Free tier | ||
| Rating | 4.6 | 4.5 |
| Best for | Data Orchestration: data assets, lineage, Python | 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
- Lineage and freshness from the asset model
- Pleasant local development
- Cheap managed entry point
- Apache 2.0 core
- Credit billing needs watching
- Asset model is a shift from task DAGs
- Smaller hiring pool than Airflow
- 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
Dagster
- Open source under Apache 2.0
- Dagster+ Solo: $10 a month, 1 user, 1 code location, $0.040 per credit
- Dagster+ Starter: $100 a month, up to 3 users, 5 code locations, $0.035 per credit
- Pro: custom, unlimited code locations and deployments
- Serverless compute $0.010 a minute on Solo and Starter; 30-day trial
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 Dagster if…
- Budget is tight: paid plans start lower ($10/mo vs $100/mo).
- You want lineage and freshness tracked without extra tools.
- You care about testing pipelines locally before deploying.
- You want a cheap managed plan for a solo data engineer.
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 Dagster better than Prefect?⌄
There’s no single winner; pick on your constraint. Choose Dagster if you want lineage and freshness tracked without extra tools. Choose Prefect if your workflows are already Python functions and you want minimal changes.
What is the difference between Dagster and Prefect?⌄
What it is. Dagster: Asset-based data orchestrator. Prefect: Python workflow orchestrator. Managed option. Dagster: Dagster+ from $10 a month. Prefect: Prefect Cloud, free Hobby tier. Free access. Dagster: Open source; 30-day Dagster+ trial. Prefect: Free Hobby plan.
Dagster vs Prefect: which is cheaper?⌄
Dagster pricing: Free · paid from $10/mo. Prefect pricing: Free · paid from $100/mo. Confirm current pricing on each tool's official site, as plans change.
Which is rated higher, Dagster or Prefect?⌄
On our editorial score, Dagster is 4.6 out of 5 and Prefect is 4.5 out of 5, so Dagster is slightly ahead. This is our own score, not an average of user reviews.
When should I skip both Dagster and Prefect?⌄
Skip Dagster if you need the widest operator library and hiring pool. Apache Airflow has it. Skip Prefect if you want data-asset lineage built in. Dagster models pipelines that way.
Sources · tool facts checked November 2026
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