Astronomer

A managed orchestration platform based on Apache Airflow that runs data pipelines and agentic AI workflows from prototype to production, handling scheduling, execution, scaling and recovery for ETL, ML and event-driven workloads. It is sold to data engineering and analytics teams, developers and operations staff in mid-market and large enterprises that run production data and AI at scale. It is positioned against self-managed open-source Airflow with a rebuilt scheduler, executor and runtime that keeps existing DAGs while delivering higher concurrency and lower task latency.

Key features

• Managed Apache Airflow orchestration
• Event-driven scheduling
• 500,000 concurrent tasks execution
• 228ms p95 task start latency
• Multi-region DB with <15 min RPO
• Airflow-aware scaling and healing
• Browser-based Astro IDE
• AI agent for DAG authoring
• Astro CLI local development
• Production-parity test deployments
• Single-command deployment
• Airflow 2 to 3 migration tooling
• Lineage tracing and warehouse operations
• Task logs and run history access