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Astronomer

Astronomer

Astronomer provides the most reliable and scalable way to run Apache Airflow in production, offering a fully managed cloud service that eliminates infrastructure management complexity while enabling data teams to focus on building and orchestrating data pipelines.

astronomer.ioCincinnati, Ohio, United StatesFounded 2015

Last updated May 11, 2026

Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$316M
API Available
Yes
Market Position

Leading commercial provider of Apache Airflow solutions and primary commercial steward of the Apache Airflow project

Overview

Astronomer is not an AdTech company. It is a data orchestration platform company that serves as the commercial steward of Apache Airflow, an open-source workflow management platform. Astronomer provides enterprise-grade solutions for building, running, and observing data pipelines at scale. Their flagship product, Astro, is a fully managed service that enables data engineers and data teams to orchestrate complex data workflows across cloud environments. The company focuses on the data infrastructure and data engineering market, serving enterprises that need to manage complex data pipelines, ETL processes, and workflow automation. While data orchestration tools like Astronomer can be used by AdTech companies to manage their data pipelines, Astronomer itself is not positioned within the advertising technology ecosystem but rather in the broader data infrastructure and DataOps space.

Products & Features

Astro

Fully managed Apache Airflow service in the cloud with automated updates, monitoring, and scaling

Astronomer Software

Self-hosted Apache Airflow platform for on-premise or private cloud deployments

Astro CLI

Command-line tool for local Airflow development and deployment to Astro

Astro Registry

Library of pre-built Airflow providers and DAG examples

Key Features
Managed Apache Airflow serviceAutomated scaling and infrastructure managementBuilt-in observability and monitoringMulti-cloud support (AWS, GCP, Azure)CI/CD integrationRole-based access controlWorkspace isolationAirflow version management
Use Cases
ETL/ELT pipeline orchestrationData warehouse managementMachine learning pipeline automationData lake operationsBusiness intelligence data preparationMulti-cloud data integration
Customer Segments
Data Engineering TeamsEnterprise Technology CompaniesFinancial ServicesHealthcareE-commerceMedia and Entertainment

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