Data Orchestration

Managed Apache Airflow.

Fully managed Airflow for workflow orchestration. DAG management, monitoring, and auto-scaling. No Airflow infrastructure to manage.

Create environment View docs
ExtractTransformLoadValidatePublishApache Airflow

Airflow

Engine

Managed

Infra

Unlimited

DAGs

Auto

Scaling

Workflows, orchestrated.

Managed Airflow. Auto-scaling. Git DAGs.

Managed Airflow

No infra to manage. Focus on DAGs.

Auto-scaling

Workers scale based on DAG parallelism.

DAG versioning

Git-based DAG versioning and CI/CD.

Pre-built operators

Operators for Spark, K8s, BigQuery, and more.

Monitoring

DAG run history, SLA tracking, and alerting.

Multi-environment

Dev, staging, and production environments.

Getting started

Launch your first instance in three steps. CLI, console, or API — your choice.

Terminal
ur data airflow create prod \
  --version=2.8 --workers=auto \
  --environment=production

Orchestration patterns.

ETL and ML pipelines.

ETL orchestration

Orchestrate complex ETL pipelines.

View tutorial

Suggested configuration

Airflow · Auto-scale · Git DAGs

Estimate your costs

Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.

Configuration 1

Estimated: $5269.50/mo

Workflow Engine

Compute Resources

TB

Storage & Output

GB
GB
Config 1 cost$5269.50

Cost details

$5269.50

Directed Acyclic Graph (DAG) orchestration.

Configuration 1
$5269.50
5 Processing Unit(s)$250.00
Data Processed$5000.00
Storage$11.50
Egress$8.00
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Works seamlessly with

Spark
K8s
BigQuery
IAM
Monitoring
Slack

Frequently asked questions

Workflows, orchestrated.

Managed Airflow. Auto-scaling. Git DAGs.

Create environment View docs