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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Astronomer
Astronomer

Astronomer

Founded by Ry Walker

Run and manage Apache Airflow data pipelines reliably

Pricing model

Free Trial

Rating

★ Positive

Time to value

Immediate

You can use Astronomer to build, run, and monitor Apache Airflow data pipelines without managing complex cloud infrastructure. It provides a managed runtime that handles scheduling, execution, and scaling for hundreds of thousands of concurrent tasks. You can develop workflows locally using the command-line interface or directly in a web browser. The system tracks task lineage, monitors health metrics, and detects pipeline failures in real time. It also includes an automated assistant to write DAGs, review code, and troubleshoot pipeline errors quickly.

What Astronomer does

Write and schedule Apache Airflow DAGsDeploy data pipelines directly from Git repositoriesTest pipeline updates locally before production releaseMonitor pipeline run status and task durationTrace data lineage from upstream sources to downstream tablesRoll back faulty pipeline deployments within ninety daysGenerate Airflow DAG code using terminal assistantsEvent-driven task scheduling with low start latencyLocal development environment using the Astro CLIAutomated code generation and failure investigation with OttoNative data lineage tracking and health monitoringZero-downtime upgrades and rollbacks up to 90 daysInfrastructure management via Git, API, and TerraformSupport for up to 500,000 concurrent tasks

Pricing breakdown

Pricing model: Free trial

PlanList price
Developer (per deployment per hour)$0.35 / mo
Team (per deployment per hour)$0.42 / mo
View full pricing page ↗

Frequently asked

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Astronomer, Astro, Apache Airflow, data orchestration, workflow orchestration, data pipelines, DAG management, Airflow hosting, ETL pipelines, machine learning pipelines, Astro CLI, task scheduling, data engineering, data observability, Otto AI, pipeline monitoring