Astronomer: Open-Source Data Pipeline Platform
Astronomer is an open-source platform for building and deploying data pipelines and applications. It provides an Apache Airflow distribution optimized for the cloud with additional integrations and capabilities like monitoring, security, and scalability.
What is Astronomer?
Astronomer is an open-source platform for building, orchestrating, and monitoring data pipelines and applications. It provides a managed distribution of Apache Airflow, the popular workflow orchestration framework, with additional features and capabilities tailored for enterprise usage.
Key capabilities and benefits of Astronomer include:
- Managed Airflow platform - Astronomer provides a fully managed, cloud-native Apache Airflow environment optimized for stability, scalability, and ease-of-use. It handles infrastructure, dependencies, and Airflow upgrades for you.
- Airflow extensions - Astronomer includes additional Airflow plugins for monitoring, logging, rbac security, and more out-of-the-box. It also has a library of certified connectors to data sources and destinations.
- Enterprise features - Astronomer has features focused on roles and permissions, pipeline visibility and control, and SLAs. Companies can create workspaces to organize and isolate pipelines and data across teams or business units.
- Cloud platform support - Astronomer is available across all major cloud platforms including AWS, Azure, and Google Cloud. It provides cloud-native deployment templates to get Airflow environments up quickly.
- Monitoring and observability - Rich metrics and logs are available on pipeline and task performance. Astronomer integrates with platforms like StatsD, Prometheus, and Grafana for monitoring and alerting.
- Community and support - As the commercial company behind the Apache Airflow project, Astronomer has deep expertise in Airflow and data pipelines. It provides enterprise-grade support and services.
In summary, Astronomer provides a full-featured, enterprise-ready platform for deploying, managing, and scaling Apache Airflow environments and data pipelines in the cloud.