Is Dagster or Prefect better?

Neither clearly leads. Dagster starts at Free and Prefect at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Dagster or Prefect?

Dagster starts at Free and Prefect at Free.

Does Dagster or Prefect run on more platforms?

Dagster runs on Cloud, Self-hosted. Prefect runs on Cloud, Self-hosted, VPC.

Can I use Dagster for free?

Both have a free tier, so you can try either at no cost before committing.

What is Dagster best used for?

Dagster is most often used for orchestrating multi-stage data transformation pipelines, tracking data lineage across transformation tools, monitoring data quality and asset health, coordinating dbt and snowflake workflows. Of those, orchestrating multi-stage data transformation pipelines and tracking data lineage across transformation tools are not what Prefect is typically brought in for.

What can Dagster do that Prefect cannot?

Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration. Prefect covers Python function decorators, Automatic resilience, Flexible deployment, Observable execution.

Automation Integration · head to head

Dagster vs Prefect

Dagster

Automation Integration

Data orchestration platform with asset lineage and AI-native observability

From: Free
Rated: -

Full review Website

Prefect

Automation Integration

Python-first workflow orchestration that heals itself

From: Free
Rated: -

Full review Website

The short version

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

Where they differ

Only the attributes on which Dagster and Prefect actually diverge.

Attributes where Dagster and Prefect differ
Attribute	Dagster	Prefect
Pricing model	Free open-source core plus paid cloud platform	Freemium with per-user and usage-based tiers
Platforms	Cloud, Self-hosted	Cloud, Self-hosted, VPC

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 Dagster

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

Only in Prefect

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

What people use each for

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

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

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

Where each one falls short

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

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

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

Pricing, plan by plan

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

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

Which should you pick?

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

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

Questions people ask

Is Dagster or Prefect better?: Neither clearly leads. Dagster starts at Free and Prefect at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagster or Prefect?: Dagster starts at Free and Prefect at Free.
Does Dagster or Prefect run on more platforms?: Dagster runs on Cloud, Self-hosted. Prefect runs on Cloud, Self-hosted, VPC.
Can I use Dagster for free?: Both have a free tier, so you can try either at no cost before committing.
What is Dagster best used for?: Dagster is most often used for orchestrating multi-stage data transformation pipelines, tracking data lineage across transformation tools, monitoring data quality and asset health, coordinating dbt and snowflake workflows. Of those, orchestrating multi-stage data transformation pipelines and tracking data lineage across transformation tools are not what Prefect is typically brought in for.
What can Dagster do that Prefect cannot?: Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration. Prefect covers Python function decorators, Automatic resilience, Flexible deployment, Observable execution.

Answered from the vendors’ own pages

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 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: 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: 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: 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

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 vs Prefect

Dagster

Prefect

The short version

Where they differ

What each one covers

Only in Dagster

Only in Prefect

What people use each for

Dagster

Prefect

Where each one falls short

Dagster

Prefect

Pricing, plan by plan

Dagster

Prefect

Which should you pick?

Choose Dagster if

Choose Prefect if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on Dagster

More on Prefect

Keep looking

Other head to heads