Automation Integration · head to head
Dagster vs Mage AI

Dagster
Automation Integration
Data orchestration platform with asset lineage and AI-native observability
- From
- Free
- Rated
- -

Mage AI
Automation Integration
Data pipeline platform with AI-generated workflows and governance
- From
- $100/month
- Rated
- -
The short version
- Only Dagster has a free tier, so it costs nothing to try first.
- Each has a real cost: Dagster learning curve steeper than simpler task schedulers; Mage AI usage-based pricing lacks transparency for cost forecasting
- They diverge on capability: Dagster covers Asset-centric orchestration, Mage AI covers AI-generated workflows.
Where they differ
Only the attributes on which Dagster and Mage AI actually diverge.
Identical on both: 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 Mage AI
- AI-generated workflows
- Pipeline building
- Data validation
- Workflow orchestration
- Automatic recovery
- Reusable components
- Governance controls
What people use each for
The jobs each tool is most often brought in to do.
Dagster
- Orchestrating multi-stage data transformation pipelinesnot Mage AI
- Tracking data lineage across transformation toolsnot Mage AI
- Monitoring data quality and asset healthnot Mage AI
- Coordinating dbt and Snowflake workflowsnot Mage AI
Mage AI
- Building and orchestrating data pipelines with visual interfacenot Dagster
- Automating ETL workflows with AI assistancenot Dagster
- Validating data quality across transformationsnot Dagster
- Distributing transformed data to multiple destinationsnot 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
Mage AI
- Usage-based pricing lacks transparency for cost forecasting
- Limited standalone pricing details on website
- Requires contact for enterprise deployment options
- Smaller ecosystem compared to established competitors
- May require significant customization for complex data models
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
Mage AI
$100/month- Cloud$100/month
- 1 development environment
- Unlimited users
- Usage-based infrastructure pricing
- Hybrid Cloud$null/custom
- Private data processing
- Custom infrastructure
- Contact sales
- Private Cloud$null/custom
- Complete isolation
- Full infrastructure control
- Contact sales
- On-Premises$null/custom
- Full local control
- Enterprise deployment
- Contact sales
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.
Choose Mage AI if
- You need ai-generated workflows.
- You work on Cloud, Hybrid, Private Cloud, On-Premises.
- You also want pipeline building.
Questions people ask
- Is Dagster or Mage AI better?
- Neither clearly leads. Dagster starts at Free and Mage AI at $100/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagster or Mage AI?
- Dagster has a free tier; the other does not. Paid plans start at Free for Dagster and $100/month for Mage AI.
- Does Dagster or Mage AI run on more platforms?
- Dagster runs on Cloud, Self-hosted. Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises.
- Can I use Dagster for free?
- Yes. Dagster has a free tier, so you can try it without paying. Mage AI starts at $100/month.
- 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 Mage AI is typically brought in for.
- What can Dagster do that Mage AI cannot?
- Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration. Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration.
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.
SourceMage AI: What is the starting price for Mage Cloud?
Cloud plan starts at $100/month for one development environment with unlimited users, plus usage-based compute charges.
SourceDagster: 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.
SourceMage AI: How is compute usage billed on Mage?
CPU is charged at $0.50 per hour and RAM at $0.50 per 4GB per hour of utilization.
SourceDagster: 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.
SourceRelated pages
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