Automation Integration · head to head
Mage AI vs Dagster

Mage AI
Automation Integration
Data pipeline platform with AI-generated workflows and governance
- From
- $100/month
- Rated
- -

Dagster
Automation Integration
Data orchestration platform with asset lineage and AI-native observability
- From
- Free
- Rated
- -
The short version
- Only Dagster has a free tier, so it costs nothing to try first.
- Each has a real cost: Mage AI usage-based pricing lacks transparency for cost forecasting; Dagster learning curve steeper than simpler task schedulers
- They diverge on capability: Mage AI covers AI-generated workflows, Dagster covers Asset-centric orchestration.
Where they differ
Only the attributes on which Mage AI and Dagster 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 Mage AI
- AI-generated workflows
- Pipeline building
- Data validation
- Workflow orchestration
- Automatic recovery
- Reusable components
- Governance controls
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.
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
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
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
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
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 Mage AI if
- You need ai-generated workflows.
- You work on Cloud, Hybrid, Private Cloud, On-Premises.
- You also want pipeline building.
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.
Questions people ask
- Is Mage AI or Dagster better?
- Neither clearly leads. Mage AI starts at $100/month and Dagster at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Mage AI or Dagster?
- Dagster has a free tier; the other does not. Paid plans start at $100/month for Mage AI and Free for Dagster.
- Does Mage AI or Dagster run on more platforms?
- Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises. Dagster runs on Cloud, Self-hosted.
- 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 Mage AI best used for?
- Mage AI is most often used for building and orchestrating data pipelines with visual interface, automating etl workflows with ai assistance, validating data quality across transformations, distributing transformed data to multiple destinations. Of those, building and orchestrating data pipelines with visual interface and automating etl workflows with ai assistance are not what Dagster is typically brought in for.
- What can Mage AI do that Dagster cannot?
- Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration. Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration.
Answered from the vendors’ own pages
Mage 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: 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: 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: 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.
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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