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Data Infrastructure

Astronomer

Managed Apache Airflow platform for orchestrating data pipelines

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About Astronomer

Astronomer develops Astro, a managed service for Apache Airflow, the open source workflow orchestrator, and employs many of the project maintainers. It adds deployment, monitoring and observability features for data and ML pipelines. Customers are data engineering teams in mid-size and large organizations.

Common use cases

  • ETL and ELT orchestration
  • ML pipeline scheduling
  • Data product delivery
  • Workflow modernization

Products and services

Astro

Managed Apache Airflow service with deployment and monitoring.

Astro Observe

Observability for data pipelines and data products.

Astro CLI

Open source command line for local Airflow development.

Astronomer Software

Self-hosted Airflow distribution.

Key features

  • Managed Airflow
  • Pipeline observability
  • CI/CD for DAGs
  • Multi-cloud deployment
  • Role-based access
  • Lineage tracking

Integrations

  • Snowflake
  • Databricks
  • dbt
  • AWS
  • Google Cloud
  • Microsoft Azure
  • Kubernetes

Astronomer alternatives

FAQs

Is Airflow open source?

Yes. Apache Airflow is open source and Astronomer builds a managed commercial platform around it.

Where does it run?

On AWS, Azure and Google Cloud, with options for self-hosting.

Who is it for?

Data engineering teams that need production orchestration of pipelines.

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