Astronomer vs Dagster
Side-by-side comparison of AI visibility scores, market position, and capabilities
Enterprise Apache Airflow platform with $213M raised; Astro managed cloud deployment for data pipeline orchestration serving the massive self-managed Airflow install base.
About
Astronomer is the company behind Apache Airflow's enterprise deployment platform, Astro, providing managed cloud infrastructure, monitoring, and development tools that make it easier to build, run, and manage data pipelines built on Apache Airflow — the most widely adopted open-source data orchestration framework. Founded in 2018 in Cincinnati, Ohio and having raised over $213 million in funding, Astronomer serves data engineering teams at companies that have adopted Airflow for workflow orchestration but need enterprise support, reliability SLAs, and developer tooling beyond the self-managed open-source experience.
Open-source data orchestration platform with asset-centric pipeline model; software-defined assets providing automatic lineage and selective materialization over Airflow's task-first approach.
About
Dagster is an open-source data orchestration and pipeline development platform that reimagines how data pipelines are built by modeling data assets (tables, ML models, reports) explicitly rather than just scheduling jobs. Founded in 2018 by Nick Schrock (creator of GraphQL) and headquartered in San Francisco, Dagster Labs raised approximately $75 million and has built a growing community of data engineers who prefer its asset-centric approach over traditional task-centric orchestration tools like Apache Airflow.
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