Astronomer

Data orchestration platform for pipeline management

Cincinnati, Ohio, United States

About Astronomer

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.

Cincinnati, OhioHeadquarters
2018Year Founded
$272.1MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise Software, CybersecurityIndustries
201-500Employees

Benefits

Remote Work Options
Company Equity

Risks

Increased competition from platforms like Prefect and Dagster poses a market challenge.
Over-reliance on Apache Airflow could be risky if community focus shifts.
Rapid AI advancements may outpace Astronomer's feature integration, risking client dissatisfaction.

Differentiation

Astronomer offers Astro, a modern data orchestration platform powered by Apache Airflow.
Astro enables data teams to build, run, and observe data pipelines-as-code efficiently.
Astronomer provides enterprise-grade security and over 1500 integrations for data unification.

Upsides

Astronomer's revenue grew over 200% in H1 2023, indicating strong market demand.
Collaboration with Microsoft Azure enhances Astronomer's cloud-native data orchestration capabilities.
Integration with Anyscale boosts Astronomer's offering for scalable machine learning workflows.