YellowDog × Apache Airflow
Integrations
Execute Airflow DAGs across any cloud and on‑prem clusters with intelligent, cost‑aware compute orchestration. Scale in minutes, cut costs automatically, and keep pipelines flowing.
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.
Effortless scale‑out
Burst to thousands of cores across clouds in minutes — without manual ops.
Resilience by default
Auto‑redistribute work when capacity changes or nodes are reclaimed.
Unified visibility
Track progress, spend, and utilisation from using a dedicated reporting portal.
Cost‑optimised runs
Pick the best source (Spot/Reserved/On‑prem) dynamically per task.
Policy‑driven control
Express SLOs and budgets; let the scheduler enforce them.
Zero DAG rewrite
Keep your DAGs; select YellowDog as the executor and go.
YellowDog orchestrates best-fit compute for every Airflow task
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.
See Airflow + YellowDog in action
Talk to our team and try policy‑driven scaling for your DAGs.