Run Airflow 3
on Astro
The biggest release in Apache Airflow® history is here. Check out the game-changing new features, fully managed on Astro.
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Reimagine data orchestration for the AI era
with Airflow 3.0
DAG Versioning
Get complete history in the UI and easier troubleshooting by tracking versions of your DAG code.
Backfills
Reliably process historical data with scheduler-managed backfills.
New, modern UI
Enjoy an updated, more productive UI, with dark mode and easier access to task logs.
Event-driven scheduling
Trigger your DAGs automatically when data arrives or events occur.
Remote execution
Execute tasks in your own environment while keeping code, sensitive data, secrets and credentials isolated.
Assets
Define data-driven pipelines with the next generation of Airflow datasets.
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.
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 even when used only as an orchestration engine (which generally deferable functionality has resolved), and the only approach I would recommend if you want to also use it as an execution engine in its own right.
Using Astro's Apache Airflow® offering on Azure has modernized our data operations. Their 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
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.
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, significantly enhancing our data orchestration capabilities.
John Marriott
Manager, Data Platform Team
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.
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 even when used only as an orchestration engine (which generally deferable functionality has resolved), and the only approach I would recommend if you want to also use it as an execution engine in its own right.
Using Astro's Apache Airflow® offering on Azure has modernized our data operations. Their 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
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.
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, significantly enhancing our data orchestration capabilities.
John Marriott
Manager, Data Platform Team
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
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
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.
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
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
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
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
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.
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
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
The world’s top data teams eliminate operational overhead with Astro.
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Build and deploy data pipelines without managing infrastructure
Connect with hundreds of data sources
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