Why run Airflow on YellowDog?
YellowDog extends Apache Airflow with hybrid and multi‑cloud execution. Each Airflow task can run on the most suitable compute — Spot/Preemptible, Reserved, or on‑prem — guided by policies for cost, performance, and locality. Provisioning, scaling, and failover are automated.
YellowDog orchestrates best-fit compute for every Airflow task
YellowDog extends Apache Airflow with hybrid and multi‑cloud execution. Each Airflow task can run on the most suitable compute — Spot/Preemptible, Reserved, or on‑prem — guided by policies for cost, performance, and locality. Provisioning, scaling, and failover are automated.
10,000+
vCPUs Provisioned in Minutes
40%
Typical Cost Reduction with Spot
Multi‑Cloud
AWS • Azure • GCP + On‑prem
99.9%
Orchestrator Uptime Target
95%+
Sustained Utilisation in Runs
Minutes
To full scale deployment
Built for Automation, Scale & Compute
Airflow + YellowDog empowers data-driven teams to orchestrate, scale, and optimise compute-intensive workflows automatically — delivering faster insights, lower costs, and unified visibility across clouds.
Data Engineering
Scale ETL/ELT and CDC with automatic capacity and cost control
ML & AI Teams
Train and tune models across GPU/CPU pools without rewiring DAGs.
Platform Engineering
Effortlessly orchestrate, scale, and govern infrastructure across environments.

