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STACKIT Workflows - Managed Apache Airflow

STACKIT Workflows is a managed workflow orchestration service built on Apache Airflow for data pipelines and ML workflows.

Data & AI
Pricing Model Pay-per-use
Availability Availability as documented by STACKIT
Data Sovereignty Operated within the STACKIT cloud; region details as documented by STACKIT
Reliability SLA as published by the provider SLA

What is STACKIT Workflows?

STACKIT Workflows is a fully managed workflow orchestration service built on Apache Airflow. Users author, schedule, and monitor complex data workflows as Directed Acyclic Graphs (DAGs) in Python, without needing to provision or maintain their own Airflow infrastructure. Operations run within the STACKIT cloud; refer to the official documentation for region details.

Core Features

  • Fully managed Apache Airflow infrastructure (Airflow 2 per the documentation, with a documented upgrade path to Airflow 3)
  • DAG authoring in Python via the regular Airflow web UI; an additional web-based development environment has been announced as an upcoming feature
  • Dynamic resource scaling based on workload
  • KubernetesPodOperator for isolated task execution with custom Docker images (“no noisy neighbors”)
  • Operators and decorators for Spark jobs and custom Python code
  • OIDC/RBAC access with IdP templates (including Keycloak, Entra ID, Okta, Google, and AWS Cognito)
  • Continuous Git repository integration for DAG code
  • Integration with STACKIT Spark and predefined STACKIT Observability dashboards

Typical Use Cases

Data Pipeline Orchestration: Teams coordinate multi-stage ETL processes between databases, data lakes, and analytics platforms, including error handling and data quality checks.

ML Automation: ML pipelines are defined as DAGs: data preparation, feature engineering, model training, validation, and deployment can be orchestrated as a connected workflow.

Spark-based Processing: Spark jobs are controlled directly from Airflow DAGs via specialized operators.

Benefits

  • No need to operate your own Airflow infrastructure
  • No lock-in, since Apache Airflow is an established industry standard
  • Isolated, reproducible task execution via Kubernetes
  • Operated within the STACKIT cloud (region details as documented by STACKIT)

Integration with innFactory

As an official STACKIT partner, innFactory supports you in designing and implementing data pipelines: from DAG architecture and error handling to integration with the STACKIT data ecosystem.

Typical Use Cases

Orchestration of ETL/ELT data pipelines
ML workflow automation
Running Spark jobs and custom Python code as DAGs
Isolated task execution via KubernetesPodOperator

Frequently Asked Questions

What is STACKIT Workflows?

STACKIT Workflows is a fully managed service built on Apache Airflow that lets you author, schedule, and monitor complex data workflows as Python DAGs. STACKIT operates the Airflow infrastructure, so you don't need to run your own Airflow deployment.

Do I have to define workflows in Python code, or is there a visual editor?

Currently, DAGs are authored as Python code. A web-based development environment has been announced according to STACKIT documentation as an upcoming feature but is not yet available. The regular Airflow web UI is already available for monitoring and management.

Which Airflow version is supported?

According to the official documentation, STACKIT Workflows is built on Apache Airflow 2 (referencing the Airflow 2.10 documentation) and additionally offers a documented guide for upgrading to Airflow 3. Refer to the official documentation for the current version status.

How can Workflows be combined with other STACKIT services?

Workflows integrates with STACKIT Spark for data extraction and processing, as well as with STACKIT Observability via predefined dashboards. Task execution can run through the KubernetesPodOperator in isolated Kubernetes pods with custom Docker images. For access, the service documents OIDC/RBAC support with IdP templates (including Keycloak, Entra ID, Okta, Google, and AWS Cognito) and continuous Git repository integration for DAG code.

What does STACKIT Workflows cost?

The service is billed on a usage basis (pay-per-use). The official STACKIT pricing page is authoritative for current prices.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of STACKIT (official documentation). This page does not represent an offer by STACKIT.

STACKIT Partner

innFactory is an official STACKIT Partner. We provide consulting, implementation, and managed services for the sovereign cloud.

STACKIT Official Partner

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