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.

MWAA and GCC SLA Fine Print

Source: https://cloud.google.com/composer/sla, https://aws.amazon.com/managed-workflows-for-apache-airflow/sla/

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45%

Reduced Airflow
cloud computing infrastructure costs

75%

Less infrastructure management workload

70%

Less critical downtime

92%

Faster issue resolution in noncritical services

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