Azure Managed Airflow stopped accepting new instances January 1, 2026. Microsoft is directing workloads to Microsoft Fabric. Your DAGs deserve a better home.
Azure Airflow Migration
Azure stopped accepting new Managed Airflow instances in January 2026 and is pushing workloads to Microsoft Fabric. Migrate your Airflow DAGs to Vharta.ai — multi-cloud, scale-to-zero, and governed from day one.
Migration Path
No DAG rewrites. Your Python files work as-is.
Your Python DAGs are fully portable — no rewrite needed.
Our migration team onboards your DAGs onto the platform.
Your DAGs run on AWS, GCP, Azure, or your own clusters, with governance built in.
What you gain
Azure gave you managed Airflow execution. Vharta.ai adds multi-cloud portability, per-tenant governance, and unified AI workflow execution on top.
Azure locked your Airflow workloads to a single cloud; Vharta.ai runs your DAGs on the cloud of your choice.
Azure MWAA charges whether your DAGs are running or not; Vharta.ai scales down between executions.
Vharta.ai adds policy-based governance, tenant cost attribution, and audit trails Azure Managed Airflow lacked.
Run Airflow DAGs, Langflow AI pipelines, and Agentic workflows on one governed platform.
Our migration team will help you move from Azure Managed Airflow to Vharta.ai without losing a single DAG. Multi-cloud, scale-to-zero, governed.