Don't let your critical data pipelines fail at scale.
When managing Apache Airflow®, cloud-native tools are a fine place to start, but simply cannot scale to meet the demands of today’s growing data needs. Tools like MWAA and GCC miss the mark with more complex data workflows — and have no actual SLAs tied to Airflow.
Meet with us to see how Astronomer delivers the compute power needed to keep your data pipelines running at any scale, supports multi-tenancy, and gives you the flexibility to grow beyond minimal deployments — all with 24/7 support from in-house Airflow experts.
Source: https://cloud.google.com/composer/sla, https://aws.amazon.com/managed-workflows-for-apache-airflow/sla/
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Our per deployment costs were cut in half relative to AWS MWAA. Additionally it greatly increases ease of use, so non-engineering teams can make use of it, and customer service is excellent.
I've worked with Airflow for the last 6 years, both administering it myself and using managed services like AWS MWAA. In my opinion Astronomer is the only feasible managed service currently available for Airflow.
Of the three best known managed Airflow options (MWAA, Google Cloud Composer, Astronomer), Astronomer is the most streamlined and easy-to-use.
Reduced Airflow
cloud computing infrastructure costs
Less infrastructure management workload
Less critical downtime
Faster issue resolution in noncritical services
