Generative AI breakthroughs don’t ship without orchestration.

Astro, the orchestration-first DataOps platform built on Apache Airflow®, empowers your team to build, run, and observe data pipelines that just work, all from one place.

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The world’s leading enterprises trust Astronomer for analytics.

Astro eliminates undifferentiated toil for data teams so they can focus on making reliable data products.

Reduced Infrastructure Complexity

Reduce your infra footprint and lower your cloud bill: intelligent autoscaling clusters, auto pipeline optimization, and 70% higher uptime than self-managed Airflow.

Accelerated Development & Operations

Eliminate the operational headache of managing infra and configuration; Get Airflow value faster than ever with a unified DataOps platform.

Complete DataOps Visibility

Go past basic pipeline monitoring and get complete transparency into your data operations. Take action early and save the day.

Astronomer & Airflow Mean Business

Mission-critical workloads in every industry are supported by Airflow.

80k+

Enterprises

324M

Annual Downloads

40k+

Github Stars

Airflow is used by 1,000 teams at Uber with 200,000 different pipelines, orchestrating 450,000 average pipeline runs and 750,000 average task runs every day. Learn More →

Apple’s innovative approach to streamlining data science workflows is a testament to the power of combining Jupyter Notebooks and Apache Airflow. Learn More →

By integrating Airflow and Astronomer, Mach1ML has delivered faster time-to-value for ML solutions, reduced operational overhead, and accelerated innovation. Learn More →

By encoding workflows into Airflow DAGs and optimizing task dependencies, Bloomberg has cut run times by 51%. Learn More →

USM (powered by Airflow) empowers Stripe’s teams to iterate and refine their workflows without the burden of manual setup or the fear of disrupting live operations. Learn More →

A digital ecosystem of 7,000 services with provisioning orchestrated by one of 12,000 unique pipelines that are collectively handling one million deployments per month. Learn More →

One platform for your entire data pipeline lifecycle.

Astro unifies the complete data pipeline journey from development to running at scale with comprehensive data observability.

Build

Innovate faster with intuitive tools designed for data teams.

Accelerate pipeline development with local development & CI/CD integration, secure testing environments, 1,600+ pre-built integrations, and flexible authoring through notebooks, YAML, and more.

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Run

Deploy and scale critical data pipelines with confidence across any environment.

Run mission-critical pipelines with intelligent autoscaling, multi-tenant team collaboration, enterprise security, and 70% higher uptime than self-managed Airflow.

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Observe

Stay in flow with built-in observability for your Airflow pipelines.

Get access to a full view of data product dependencies, smart alerts, automated anomaly detection to spot bottlenecks, and guided root cause analysis. No need to stitch together separate tools.

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Why orchestration-first?

The essential foundation for unified DataOps

In a world of heterogeneous data platforms, orchestration is the only framework flexible enough to operationalize data across your entire organization.

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Unify complex data estates across disparate tools and platforms
Enable cross-team collaboration through standardized workflows
Simplify tech stacks by integrating build, test, and release cycles
Elevate data quality and trust through centralized visibility

Organizations from every industry transform their data operations with Astro

Hospitality

Reducing job runtime from 2 hours to 2 minutes

“The migration to Astro was streamlined and completed within a two-week sprint, significantly enhancing our data orchestration capabilities.”

John Marriott

Manager, Data Platform Team

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Sports & Entertainment

80% reduction in processing time

“Our analytics delivery time improved dramatically, allowing us to provide immediate feedback to players after games, which is crucial for their development.”

Alexander Booth

Assistant Director of R&D

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Technology

40% reduction in maintenance overhead

“We no longer spend huge chunks of time fixing outages. Our engineering teams can focus on product engineering, and our analytic engineers and data scientists can focus on getting stakeholders the analytics they need.”

Nick Wilson

Senior Manager, Platform Team

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