Move data and agentic workflows from prototype to production.
Powered by Apache Airflow®, augmented with AI.
Trusted by 900+ engineering teams
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.
- ✓ Created project directory
- ✓ Generated example DAG
- ✓ Project ready!
- Building image...
- Deploying to Astro...
- ✓ Deployment complete!
Astro vs. Dagster
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.
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.