Build, run, and observe data pipelines effortlessly.
Apache Airflow® powers the world’s largest data platforms. Astronomer makes it easy.
Built for every data team to move fast and break nothing.
Build scalable ETL pipelines that process terabytes of data daily with full visibility into dependencies and execution.
Productionize LLM workflows that automate sentiment analysis, similarity search, and research summarization.
Operationalize complex ML workflows—from model training to inference—with reliability and reproducibility.
Build infrastructure automation and reporting.
Keep dashboards and models fresh with pipelines that ensure data quality, timeliness, and auditability.
Astronomer is the driving force behind Apache Airflow®
How Astro Works
Build faster, deploy with a click, observe it all.
Develop locally, push easily.
Build and test DAGs locally with the Astro CLI. Push instantly or integrate with CI/CD using built-in linting, testing, and previews.
Private preview
Build with the Astro IDE + AI.
The only AI-native IDE built for data engineers. Our code agent suggests best practices and lets you test DAGs with no local setup needed.
Native, end-to-end data observability.
We automatically track lineage across pipelines and tables. When things break, we surface the impact fast: from failures to quality issues to runtime anomalies.
Infrastructure you don’t have to think about.
We run Apache Airflow at massive scale. Astro offers Docker-based deployments with fine-grained scaling via our proprietary hypervisor.
Why Astro?
The best way to run Airflow in production. Period.
Purpose-built to scale Airflow.
Other managed services treat Airflow as an afterthought. Not Astro. Astro delivers 2x the performance and cuts costs with smart autoscaling.
Built-in observability. No extra tooling required.
Other solutions force you to bolt on additional tools. Astro bakes in lineage, cost-tracking, and anomaly detection in one seamless interface.
Enterprise security meets developer experience.
Secure, SOC 2 compliant, zero-trust architecture without sacrificing developer ease from local testing to global deployment.
Instead of running each model one at a time, Cosmos lets me run everything in parallel where possible, which saves us hours.
Chris Brundage
Data Engineer
Great product and collaboration
The experience of using astronomer for the migration of existing DAGs and new developments has been great, and all positive. The team is supportive and very knowledgeable.
With Astro, it's incredibly easy to set up new pipelines; I can create 10 new ones a day if needed. This agility has allowed us to scale up to the point where we needed to create specific deployments for larger teams to better manage and measure their usage.
Yohai Vidergor
VP of Global Data
Data Scientist using Astronomer for custom ETLs and ML
I like that it is flexible, well documented, has good support. Its UI is pleasing too. It's fast, allows to schedule lots differents jobs by nature (data engineering, ML models, MLOps, etc). It's overall a fantastic orchestration service.
Astro emerged as a better fit for our long-term goals, offering the kind of scalable environment and dedicated support we needed. The migration to Astro was streamlined and completed within a two-week sprint.
John Marriott
Manager, Data Platform Team
Instead of running each model one at a time, Cosmos lets me run everything in parallel where possible, which saves us hours.
Chris Brundage
Data Engineer
Great product and collaboration
The experience of using astronomer for the migration of existing DAGs and new developments has been great, and all positive. The team is supportive and very knowledgeable.
With Astro, it's incredibly easy to set up new pipelines; I can create 10 new ones a day if needed. This agility has allowed us to scale up to the point where we needed to create specific deployments for larger teams to better manage and measure their usage.
Yohai Vidergor
VP of Global Data
Data Scientist using Astronomer for custom ETLs and ML
I like that it is flexible, well documented, has good support. Its UI is pleasing too. It's fast, allows to schedule lots differents jobs by nature (data engineering, ML models, MLOps, etc). It's overall a fantastic orchestration service.
Astro emerged as a better fit for our long-term goals, offering the kind of scalable environment and dedicated support we needed. The migration to Astro was streamlined and completed within a two-week sprint.
John Marriott
Manager, Data Platform Team
With Astronomer, we've seen our end-to-end nightly execution time drop nearly 20%. Having Astronomer manage orchestration in one central place gives the application and support teams a lot more control and visibility into our running processes.
Kevin Suchy
Solutions Architect
Astro’s best-in-class SLAs, multi-environment deployments, and intuitive dashboards have streamlined our processes, ensuring we can manage our critical pipelines.
Kevin Schmidt
Sr Manager, Data Engineering
Excellent Airflow as a Service Platform
With Astronomer we don't need to worry about the infrastructure, everything is abstracted to us, we just need to click a few times to implement a new deployment (very easy) access the Astronomer UI, and start doing things.
We no longer spend huge chunks of time fixing outages. Our engineering teams can focus on product engineering, our analytic engineers & data scientists can focus on getting stakeholders the analytics they need.
Nick Wilson
Sr. Manager, Platform Team
Best way to take the pain out of Airflow
Astronomer is the only feasible managed service currently available for Airflow. It's the first managed service I've used that does not entail a surprising number of performance bugs, and the only approach I would recommend.
With Astronomer, we've seen our end-to-end nightly execution time drop nearly 20%. Having Astronomer manage orchestration in one central place gives the application and support teams a lot more control and visibility into our running processes.
Kevin Suchy
Solutions Architect
Astro’s best-in-class SLAs, multi-environment deployments, and intuitive dashboards have streamlined our processes, ensuring we can manage our critical pipelines.
Kevin Schmidt
Sr Manager, Data Engineering
Excellent Airflow as a Service Platform
With Astronomer we don't need to worry about the infrastructure, everything is abstracted to us, we just need to click a few times to implement a new deployment (very easy) access the Astronomer UI, and start doing things.
We no longer spend huge chunks of time fixing outages. Our engineering teams can focus on product engineering, our analytic engineers & data scientists can focus on getting stakeholders the analytics they need.
Nick Wilson
Sr. Manager, Platform Team
Best way to take the pain out of Airflow
Astronomer is the only feasible managed service currently available for Airflow. It's the first managed service I've used that does not entail a surprising number of performance bugs, and the only approach I would recommend.
