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Automation Integration · head to head

Prefect vs Dagster

Prefect logo

Prefect

Automation Integration

Python-first workflow orchestration that heals itself

From
Free
Rated
-
Full reviewWebsite
Dagster logo

Dagster

Automation Integration

Data orchestration platform with asset lineage and AI-native observability

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Prefect limited to Python-based workflows; other languages require API calls; Dagster learning curve steeper than simpler task schedulers
  • They diverge on capability: Prefect covers Python function decorators, Dagster covers Asset-centric orchestration.

Where they differ

Only the attributes on which Prefect and Dagster actually diverge.

Attributes where Prefect and Dagster differ
AttributePrefectDagster
Pricing modelFreemium with per-user and usage-based tiersFree open-source core plus paid cloud platform
PlatformsCloud, Self-hosted, VPCCloud, Self-hosted

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Automation Integration).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Prefect

  • Python function decorators
  • Automatic resilience
  • Flexible deployment
  • Observable execution
  • Multiple scheduling
  • Webhooks
  • Open-source core

Only in Dagster

  • Asset-centric orchestration
  • Lineage tracking
  • Data quality monitoring
  • Multi-tool integration
  • Branch deployments
  • Dagster+ AI
  • Hybrid deployment

What people use each for

The jobs each tool is most often brought in to do.

Prefect

  • Orchestrating data pipeline workflows in Pythonnot Dagster
  • Managing ML model training and inference jobsnot Dagster
  • Building ETL and event-driven automationnot Dagster
  • Monitoring and alerting on workflow healthnot Dagster

Dagster

  • Orchestrating multi-stage data transformation pipelinesnot Prefect
  • Tracking data lineage across transformation toolsnot Prefect
  • Monitoring data quality and asset healthnot Prefect
  • Coordinating dbt and Snowflake workflowsnot Prefect

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Prefect

  • Limited to Python-based workflows; other languages require API calls
  • Hobby free tier severely limited for production use
  • Team plan billing per user scales quickly with team size
  • Less visual workflow builder compared to some competitors
  • Smaller ecosystem of pre-built connectors than alternatives

Dagster

  • Learning curve steeper than simpler task schedulers
  • Asset-centric model requires redesigning existing task-based pipelines
  • Pricing complex with per-credit costs on top of base fee
  • Open-source version requires self-hosting infrastructure
  • Limited to data workflows; not suitable for general automation

Pricing, plan by plan

Prefect

Free
  • HobbyFree
    • 2 users and 5 deployments
    • 500 minutes serverless monthly
    • 7-day run retention
  • Starter$100/month
    • 3 users and 20 deployments
    • 75 hours serverless compute
    • Bring-your-own infrastructure
  • Team$100/user/month
    • 4-8 users per plan tier
    • 100 deployments
    • 225 hours serverless monthly
  • Enterprise$null/custom
    • SSO and SAML authentication
    • Role-based access control
    • Multiple workspaces

Dagster

Free
  • Open SourceFree
    • Self-hosted deployment
    • Full orchestration engine
    • Community support
  • Solo$10/month
    • 1 user and 1 code location
    • Pay-as-you-go credits at $0.040 per credit
    • 1 deployment
  • Starter$100/month
    • Up to 3 users and 5 code locations
    • Better credit rate at $0.035 per credit
    • 1 deployment
  • Pro$null/custom
    • Unlimited code locations and deployments
    • Custom serverless compute pricing
    • Personalized onboarding

Which should you pick?

Choose Prefect if

  • You need python function decorators.
  • You want to start without paying.
  • You work on Cloud, Self-hosted, VPC.
  • You also want automatic resilience.
Prefect review

Choose Dagster if

  • You need asset-centric orchestration.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want lineage tracking.
Dagster review

Questions people ask

Is Prefect or Dagster better?
Neither clearly leads. Prefect starts at Free and Dagster at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Prefect or Dagster?
Prefect starts at Free and Dagster at Free.
Does Prefect or Dagster run on more platforms?
Prefect runs on Cloud, Self-hosted, VPC. Dagster runs on Cloud, Self-hosted.
Can I use Prefect for free?
Both have a free tier, so you can try either at no cost before committing.
What is Prefect best used for?
Prefect is most often used for orchestrating data pipeline workflows in python, managing ml model training and inference jobs, building etl and event-driven automation, monitoring and alerting on workflow health. Of those, orchestrating data pipeline workflows in python and managing ml model training and inference jobs are not what Dagster is typically brought in for.
What can Prefect do that Dagster cannot?
Prefect covers Python function decorators, Automatic resilience, Flexible deployment, Observable execution. Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration.

Answered from the vendors’ own pages

Prefect: What is included in the Hobby free plan?

Hobby includes 2 users, 5 deployments, 500 minutes of serverless compute monthly, and 7-day run retention.

Source
Dagster: What does Solo plan at $10/month include?

Solo includes 1 user, 1 code location, 1 deployment, and serverless compute at $0.010/minute, with 30-day free trial.

Source
Prefect: What is the difference between Starter and Team plans?

Starter is $100/month for 3 users and 20 deployments. Team is $100 per user per month for 4-8 users and 100 deployments.

Source
Dagster: How are credits calculated on Dagster+?

Each asset materialization and ops execution costs 1 credit. Solo plan charges $0.040 per credit; Starter reduces to $0.035 per credit.

Source
Prefect: Can I deploy Prefect in my own infrastructure?

Yes, Starter and higher plans support bring-your-own-compute infrastructure and VPC deployments.

Source
Dagster: Is Dagster open-source available for free?

Yes, Dagster open-source is free and includes the full orchestration engine for self-hosted deployment with community support.

Source
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