Dagster vs Prefect
No clear leader: Dagster (70.0) and Prefect (70.0) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Dagster
An orchestration and observability platform that models data assets, manages their dependencies, and integrates lineage tracking, quality monitoring, and data cataloging for managing pipelines from development to production.
Prefect
A Python-native workflow automation platform that handles scheduling, retries, caching, and recovery for data pipelines and AI agent workflows, with both cloud-managed and self-hosted execution options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Dagster
From $10/month. Free 30-day trial. Subscription plus metered usage model.
- Solo$10/month + $0.04/credit + $0.01/minute serverless compute
- Core and asset-based orchestration
- Local development (dg CLI)
- Partitions and backfills
- Branch deployments
- Asset checks
- +3 more
- Starter$100/month + $0.035/credit
- All Solo features
- Workflow-based orchestration
- Freshness policies
- Data column lineage
- BI tool integration
- +5 more
- ProContact sales
- All Starter features
- Custom serverless compute
- Cost tracking and insights
- Personalized onboarding support
- Private Slack channel
- +8 more
Prefect
Free Hobby tier. Starter from $100/month. Team per-user monthly pricing. Enterprise custom quote.
- HobbyFree
- Workflow scheduling
- Up to 5 deployments
- 500 minutes of Prefect Serverless
- Workflow observability
- Logging & alerting
- +1 more
- Starter$100/mo
- All Hobby features
- Up to 20 deployments
- 75 hours of Prefect Serverless
- Bring your own compute
- Webhooks
- +1 more
- Team-
- All Starter features
- Up to 100 deployments
- 225 hours of Prefect Serverless
- Service accounts
- 24 hour audit log
- EnterpriseContact sales
- All Team features
- SSO (SAML/OIDC)
- RBAC + ACLs
- Multiple workspaces
- Directory Sync (SCIM)
- +2 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- dbt
- Snowflake
- AWS
- Slack
- AWS Secrets Manager
Dagster
- Spark
- Databricks
- Azure
- Airbyte
- Tableau
- Soda
- Microsoft Teams
- PagerDuty
- Datadog
- Python
- dbt Cloud
- Fivetran
- AWS S3
- AWS Redshift
- AWS EMR
- AWS Glue
- AWS Athena
- AWS CloudWatch
- Salesforce
- Looker
- Power BI
- Sigma
- Clickhouse
- Ray
- +10 more
Prefect
- Pydantic AI
- OpenAI
- HashiCorp Vault
- Redis
- Kubernetes
- Amazon ECS
- Docker
- Google Cloud Run
- GitHub
Dagster or Prefect: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.