Modern Data Orchestration

Build, run, and observe data pipelines-as-code with Astro, the cloud-native data orchestration platform powered by Apache Airflow™.

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Focus on your pipelines, not managing Apache Airflow

  • Build

    Build Faster

    Accelerate the development of data pipelines with tools that allow your entire data team to focus on code that impacts your business.

  • Run

    Run With Confidence

    Increase data availability with a reliable and efficient production runtime environment optimized for the cloud.

  • Observe

    See the Whole Picture

    Make sense of your data universe with real-time visibility and actionable insights across environments.

Data Loop
Data Loop
Apache Airflow

Apache Airflow is the de facto standard for expressing data flows as code, with a robust and growing community of data engineers, scientists, and analysts around the world.

Learn more about Airflow

Unified Data Flows

Bring order to your distributed data ecosystem with a modern orchestration platform.

Unify You Data Flows

Choose Your Deployment


Fully managed,
deployed in your cloud or ours

Keep orchestration close to your data with a single-tenant data plane in your cloud or ours, no DevOps required. With a common control plane for data pipelines across clouds, you’ll sleep easy knowing your environment is managed by the core developers behind Apache Airflow.

Learn More About Astro
Fully Managed Airflow

Self Managed Airflow


Self managed, deployed in your private cloud

Launch, manage, and secure Airflow environments with an enterprise-ready software platform built for the most demanding settings.

Learn About Astronomer

Work Locally and Control Astro from Your Terminal

Write, test, and run DAGs in a lightweight local development environment.

astro dev init
 > Airflow project Initialized!
 ├── Dockerfile # Base Airflow image
 ├── airflow_settings.yaml # For local connections
 ├── dags
 │   ├──
 │   └──
 ├── include # Scripts, helpers, etc.
 ├── packages.txt # OS packages
 ├── plugins
 └── requirements.txt # Python packages