Astronomer vs Databricks
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.
$4.8B revenue run-rate; 55% YoY growth; $134B valuation (Series L). Mosaic AI for enterprise LLM fine-tuning and inference; Unity Catalog for data governance. DBRX open-source model; every major enterprise AI deployment runs on the lakehouse.
About
Databricks was founded in 2013 by the original creators of Apache Spark — Ali Ghodsi, Matei Zaharia, and five other UC Berkeley researchers — to unify data engineering, analytics, and machine learning on a single platform. The company commercialized the lakehouse architecture, combining the flexibility of data lakes with the reliability of data warehouses. Databricks runs on AWS, Azure, and GCP and leads the commercial distribution of the open-source Delta Lake and MLflow projects.\n\nThe platform includes the Databricks Lakehouse for unified data processing, Unity Catalog for governance and lineage tracking, and Mosaic AI for enterprise LLM fine-tuning, model serving, and generative AI application development. It supports data engineering, SQL analytics, BI, feature engineering, and model training within a single governance perimeter, serving enterprises in financial services, healthcare, manufacturing, and media.\n\nDatabricks achieved a $4.8 billion annualized revenue run-rate in early 2025 with 55% year-over-year growth and a $62 billion valuation from its Series L round — one of the most valuable private software companies globally. Its dual role as the leading commercial lakehouse vendor and steward of influential open-source projects gives it a unique ecosystem advantage as enterprises accelerate investment in AI infrastructure.
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