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Most buyers should pick Prefect.
Choose Prefect if your workflows are Python functions and you want scheduling, retries, and run visibility, with a free Hobby plan capped at 2 users, 5 deployments, and 500 serverless minutes monthly. Choose Dagster if your team models data as assets and needs lineage, health monitoring, or hybrid deployment. Dagster starts at $10 monthly, but Solo also charges $0.040 per credit; Prefect’s first paid plan is $100 monthly. Check usage and team caps before switching.
01Side by side
| Prefect | Dagster | |
|---|---|---|
| Starting price | Paid plans start at $100/month | $10/month, plus usage credits |
| Free plan | Yes: 2 users, 5 deployments, 500 serverless minutes/month | No free plan; 30-day trial |
| Best for | Teams building Python workflows | Data teams managing assets and lineage |
| Core strength | Durable Python flows with retries and scheduling | Asset orchestration, lineage, and observability |
| Ease of use (review score) | 8/10 | 7/10 |
| Integrations and data | Scheduling, logs, alerts, flexible deployment | Assets, lineage, health, hybrid deployment |
| Team and seat costs | Team: $100/user/month; 4–8 users | Starter: $100/month; up to 3 users |
| Support (review score) | 5/10 | 6/10 |
Prefect Choose Prefect if
- Choose Prefect if you want Python functions as workflows.
- Choose Prefect if a free plan matters.
- Choose Prefect if you need scheduling, retries, and run visibility.
Dagster Choose Dagster if
- Choose Dagster if your pipelines are organized around data assets.
- Choose Dagster if lineage and asset health matter.
- Choose Dagster if hybrid deployment fits your setup.
02Pricing compared
Prefect has a free Hobby plan for 2 users, 5 deployments, 500 serverless minutes per month, 7-day run retention, and 5 automations. Its first paid tier, Starter, is $100 per month for 3 users, 20 deployments, and 75 serverless hours monthly. Team is also listed at $100 per user per month, with 4–8 users and higher limits. Dagster has no free plan, but offers a 30-day trial. Its Solo plan starts at $10 per month for 1 user, plus $0.040 per credit; serverless compute costs $0.010 per minute. Starter is $100 monthly plus usage, with credits at $0.035 each. So compare expected usage, not just the starting price. Dagster Pro and Prefect Enterprise prices are custom or unpublished.
03Features and depth
Prefect is built around Python functions: its product description says teams can turn them into workflows with the @flow decorator. It handles scheduling, retries, logging, recovery, and run visibility, with schedules for cron, events, and backfills. Deployments can run on managed compute, Kubernetes, ECS, or a team’s own VPC. Alerts cover failures, SLA misses, and late runs.
Dagster takes an asset-based approach. Its feature list emphasizes building and running assets, tracking lineage and dependencies, and monitoring asset health. It also describes Dagster AI as using operational context to diagnose issues, explain behavior, and take action. Hybrid deployment keeps compute in your infrastructure while Dagster manages the control plane; branch deployments let teams validate changes in a production-like environment before they reach real data.
The practical distinction: Prefect centers on Python workflows; Dagster centers on data assets and their operational context. Choose by how your team models work, not by feature-count claims.
04Ease of use and learning curve
If your team already builds workflows as Python functions, Prefect’s @flow approach may be the more familiar starting point. Dagster’s asset model may suit teams that already think in terms of datasets, dependencies, lineage, and health. That is a difference in concepts, not proof that one takes less time to learn.
Our review scores rate ease of use at 8 for Prefect and 7 for Dagster. Those scores are a directional comparison, not a guarantee for your team. Before switching, map a representative workflow or pipeline to each product’s model, then check the relevant plan limits and usage charges.
Questions people ask
Which is cheaper, Prefect or Dagster?
Dagster’s listed Solo price is lower at $10 per month, but credits cost $0.040 each and serverless compute is $0.010 per minute. Prefect’s Hobby plan is free; its Starter plan is $100 monthly. Your total depends on usage and which limits you need.
Does Prefect have a free plan?
Yes. Prefect’s Hobby plan is free and includes 2 users, 5 deployments, 500 serverless minutes per month, 7-day run retention, and 5 automations. It is capped, so check whether those limits cover your deployment and runtime needs before treating it as a long-term fit.
Is Dagster better for data pipelines?
Dagster is the more direct fit if your team models pipelines as data assets and needs lineage, dependencies, or asset-health monitoring. Prefect is oriented around Python functions turned into workflows, with scheduling, retries, and run visibility. The better choice depends on your team’s operating model.
What should we check before switching from Prefect to Dagster?
Compare how your existing workflows map to Dagster’s asset model, then estimate Dagster credit and serverless usage. Check plan caps too: Dagster Solo lists 1 code location and 1 deployment, while Starter lists 5 code locations and 1 deployment. Prices for Pro are customized, not published.