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Astro vs. Dagster

Move data and agentic workflows from prototype to production.

Powered by Apache Airflow®, augmented with AI.

Trusted by 900+ engineering teams

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WHY AIRFLOW?

MODERN orchestration you never have to babysit.

Write your pipelines in Python, Astro runs them reliably at any scale. No Kubernetes expertise required. No ops burden. Just the most widely-adopted orchestrator, minus the headaches.

$ brew install astro
✓ Successfully installed astro-cli v1.39.0
$ astro dev init --from-template etl
Initializing Astro project...
  • ✓ Created project directory
  • ✓ Generated example DAG
  • ✓ Project ready!
Run `astro dev start` to run Airflow locally
$ astro deploy
  • Building image...
  • Deploying to Astro...
  • ✓ Deployment complete!
View at: cloud.astronomer.io
COMPARE YOUR OPTIONS

Astro vs. Dagster

Airflow on Astro
Dagster
Community & ecosystem
Apache Airflow: 46,100+ GitHub stars, 3,900+ contributors.
15,800+ stars, ~650 contributors.
Governance & ownership
Airflow is open source, governed by the Apache Foundation. Astronomer contributes to the project and holds 10 seats on the Airflow PMC. Astro is Astronomer's managed service for Airflow.
Dagster Labs maintains an open-source version and a managed service, Dagster+. Both were acquired by Prefect in July 2026.
AI tooling
Otto — a native, environment-aware agent built into the platform.
Skill files for third-party coding agents.
Support
24/7 from Apache Airflow committers, plus Professional Services for migration and onboarding.
Startup-sized team.
Pricing model
Usage-based — separate hourly rates for cluster, deployment, and worker compute, starting at $0.35/hr, with workers scaling to zero when idle.
Credit-based — 1 credit per asset materialization and 1 per op execution, plus serverless compute minutes if not using Hybrid.

See Astro in action.

Discuss your orchestration goals with the Airflow experts and find out what a fully-managed platform can do for your team.

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FREQUENTLY ASKED QUESTIONS

Do I have to migrate everything at once?

No. Most teams run their existing setup and Astro side by side, moving pipelines over gradually. Astronomer maintains agent skills to automate migrations, drawing from hundreds of real-world deployments.

Does Astro / Airflow support asset-based pipelines?

Event-driven scheduling — Dagster's original edge — is native to Airflow too. Pipelines react to data the moment it lands, or trigger off events like Kafka or SQS. No more guessing on a clock.

What if my team built custom Dagster components?

Astronomer's services team can help map your existing setup, including custom components, to the closest Airflow equivalent before you write any code.

How does Astro's pricing actually work?

Usage-based hourly rates for cluster, deployment, and worker compute, starting at $0.35/hr. Workers scale to zero when idle, so you're not paying for time nobody's running a pipeline.