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 — multi-cloud, scale-to-zero, and governed from day one.
Migration Path
No DAG rewrites. Your Python files work as-is.
Download your DAG files from Azure Data Factory or your Azure Blob Storage. Your Python DAGs are fully portable — no rewrite needed.
Push DAGs to a Git repository. Vharta's GitOps deployment picks them up automatically, applying schema validation and license checks in CI before any DAG reaches production.
Set up OPA policies for RBAC, resource quotas, and cost budgets. Use Vharta's Airflow starter policy templates to be production-ready in under 30 minutes.
Your DAGs execute on Vharta's Kubernetes-native infrastructure — AWS, GCP, Azure, or your own clusters. No cloud lock-in, ever.
What you gain
Azure gave you managed Airflow execution. Vharta adds multi-cloud portability, per-tenant governance, and unified AI workflow execution on top.
Azure locked your Airflow workloads to a single cloud. Vharta runs your DAGs on AWS, GCP, Azure, or your own Kubernetes clusters — your choice, switchable at any time.
Azure MWAA charges whether your DAGs are running or not. Vharta's HPA-managed worker pods scale to zero between executions — you pay only for what runs.
Azure Managed Airflow had no Policy-as-Code, no per-tenant isolation, and no FinOps dashboards. Vharta adds OPA governance, tenant cost attribution, and immutable audit trails on top of Airflow execution.
Your team is likely running AI workflows alongside Airflow. Vharta unifies Airflow DAGs, Langflow AI pipelines, and Agentic workflows on one governed platform — no separate vendor for AI execution.
Side-by-side capability comparison.
| Capability | Azure Managed Airflow | Vharta |
|---|---|---|
| Managed Airflow execution | ||
| Multi-cloud deployment | ||
| Scale-to-zero (no idle cost) | ||
| Per-tenant isolation | ||
| Policy-as-Code (OPA) | ||
| Per-tenant cost tracking | ||
| SOC2 / HIPAA / GDPR | Azure-inherited | |
| On-premise deployment | ||
| Langflow + Agentic on same platform | ||
| GitOps DAG deployment | ||
| New instances available |
Our migration team will help you move from Azure Managed Airflow to Vharta without losing a single DAG. Multi-cloud, scale-to-zero, governed.