Simple Pricing At Any Scale
$0.137 / hr
Per 10 AU
Fully Managed Airflow
Control your Resource Allocation
Choose your Executor
Astronomer Units (AU)
Based on cpu and memory used
10 AU = 1 CPU, 3.75 GB memory
Private deployment of the Astronomer platform to run, monitor and scale Apache Airflow clusters on your Kubernetes.
Deploy to Kubernetes — AWS (EKS), Google Cloud (GKE), or Azure (AKS)
Annual license for predictable pricing
Premium support and full-stack monitoring and alerting
Default AU Configuration
Your resource allocation on Astronomer is fully customizable, but see below for our platform defaults.
Every deployment you spin up on Astronomer comes with PgBouncer and StatsD out of the box. These are required to run a deployment and cannot be changed.
Run DAGs in a lightweight environment that's optimal for testing, where all tasks are executed by the Airflow Scheduler pod.
Distribute task execution across multiple dedicated celery workers. Maintain full control over worker size, worker count, and termination grace period. This option includes Redis and a Flower Dashboard to monitor your Celery workers.
Auto-scale the resources needed to execute your tasks. Eliminate interruption to active DAGs and pay for only what your tasks consume.
Astronomer Command Center
Easy code deployment
Real-Time Log Streaming
Platform Role-Based Access Control
Focus on running your DAGs. Let us handle the deployment issues.
Standard email support included via our ticketing system. Get access to the Astronomer knowledge base and lean on us to help you become an Airflow pro.
Premium, SLA-backed support from the world's Airflow experts. Business day and business critical response times available.