What does Apache Airflow cost in 2026? Self-hosted and managed pricing explained

Pricing Overview

Apache Airflow is a free, open-source workflow orchestration platform maintained by the Apache Software Foundation. There is no licensing fee for Airflow itself — organizations can download, deploy, and run Airflow without paying any software costs. However, running Airflow in production requires infrastructure (servers, databases, monitoring) that carries hosting costs. Several managed Airflow services exist for teams that prefer not to manage infrastructure themselves.

Apache Airflow Cost Options (as of March 2026)

Self-Hosted Costs

Single VM Deployment

A minimal Airflow deployment for development or small-scale production can run on a single virtual machine. A VM with 4 vCPUs, 8 GB RAM, and 100 GB SSD (sufficient for the webserver, scheduler, and a small number of workers) costs $40-$80/month on cloud providers like Hetzner, DigitalOcean, or Linode. Add $10-$30/month for a managed PostgreSQL database (Airflow's metadata store). Total: approximately $50-$110/month for a small deployment handling up to 50-100 DAGs.

Kubernetes Deployment

Production-grade Airflow on Kubernetes (using the official Helm chart with KubernetesExecutor or CeleryExecutor) requires a cluster with at least 3 nodes. On AWS EKS or GCP GKE, the infrastructure costs range from $200-$2,000/month depending on worker scaling and data volume. This includes cluster control plane fees, node instance costs, persistent volumes, and networking. The Kubernetes approach provides automatic scaling of workers and high availability but requires Kubernetes expertise to manage.

Managed Airflow Services

Astronomer (Astro)

Astronomer offers Astro, the leading commercial managed Airflow platform. The free tier provides a single deployment for learning and development. Paid plans start at approximately $100/month for a small production deployment with automatic scaling. Enterprise pricing ranges from $1,000-$5,000+/month for multi-environment deployments, SSO, audit logging, and dedicated support. Astronomer contributes actively to the Airflow open-source project and provides the Astro CLI for local development.

Google Cloud Composer

Cloud Composer is Google Cloud's managed Airflow service. Composer 2 pricing is based on compute, database, and storage consumption. A minimal Composer 2 environment costs approximately $300/month (small environment preset). Production environments with higher compute and multiple workers typically cost $500-$1,500/month. Cloud Composer integrates natively with BigQuery, Cloud Storage, Dataflow, and other GCP services.

Amazon MWAA

Amazon Managed Workflows for Apache Airflow (MWAA) pricing starts at approximately $350/month for the smallest environment class (mw1.small). The medium environment (mw1.medium) costs approximately $700/month, and the large environment (mw1.large) approximately $1,400/month. MWAA pricing includes the Airflow webserver, scheduler, and a managed metadata database. Worker instances are charged separately based on the number of concurrent tasks.

Hidden Costs and Considerations

• Operational overhead: Self-hosted Airflow requires ongoing maintenance: version upgrades, dependency management, metadata database backups, and worker scaling. Organizations typically need 0.25-0.5 FTE of DevOps time for Airflow infrastructure management.
• Plugin and provider packages: Airflow's extensibility comes from provider packages (for AWS, GCP, Snowflake, etc.) that may introduce additional infrastructure or API costs when connecting to external services.
• Monitoring: Production deployments need monitoring (Prometheus, Grafana, Datadog) for scheduler health, task latency, and worker utilization. Monitoring tool costs are separate from Airflow itself.

Editor's Note: We run Airflow for 6 client organizations. Three use self-hosted deployments on Hetzner dedicated servers ($50-$120/month each), two use Astronomer Astro ($300 and $1,200/month), and one uses Cloud Composer ($650/month). The self-hosted deployments cost less but require 2-4 hours per month of maintenance per installation. The Astronomer clients pay more but have zero infrastructure management burden. The Cloud Composer client chose it for native BigQuery integration. Our recommendation: self-host if you have DevOps capacity, use Astronomer if you want managed Airflow without cloud vendor lock-in, use Cloud Composer or MWAA only if you are already deep in that specific cloud ecosystem.