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Head-to-head · Workflow Orchestration Software

AWS Step Functions vs Apache Airflow

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score AWS Step Functions #1 in Workflow Orchestration Software 9.3/10 Free plan Free plan✓ 5 of 5 features Visit site
Apache Airflow #2 in Workflow Orchestration Software 9.2/10 Free plan Free plan✓ 4 of 5 features Visit Apache Airflow

AWS Step Functions leads on 1 check, Apache Airflow on 0, and 5 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAWS Step Functions · 9.3/10
  • Free planboth
  • Most featuresAWS Step Functions · 5 of 5

AWS Step Functions scores higher on our rubric for workflow orchestration software: 9.3 against 9.2 out of 10; our editors rank them #1 and #2.

AWS Step Functions offers visual workflow builder; Apache Airflow doesn't. On deployment model, Apache Airflow gives you Self-hosted where AWS Step Functions offers Cloud.

AWS Step Functions is the better fit for AWS-native cloud orchestration. Apache Airflow is the better fit for mature open-source data workflows.

  • AWS Step Functions fits best

    AWS-native cloud orchestration

  • Apache Airflow fits best

    Mature open-source data workflows

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Side by side

Feature AWS Step Functions 9.3/10 Visit ↗ Apache Airflow 9.2/10 Visit ↗
At a glance
Editor score 9.3 9.2
Ranking #1 in Workflow Orchestration Software #2 in Workflow Orchestration Software
Best for AWS-native cloud orchestration Mature open-source data workflows
Pricing model Free plan + paid Free
Starting price $1/unit usage-based Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Web
Support Docs Community, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features AWS Step Functions 5/5 · Apache Airflow 4/5
Visual workflow builder ✓ (best) —
Event triggers ✓ ✓
Automatic retries ✓ ✓
Execution observability ✓ ✓
Human approvals ✓ ✓
Specs
Deployment model Cloud Self-hosted
Our review
Pros
  • Visual state-machine design with branching, parallelism, retries, and approvals
  • Deep integrations across AWS services and HTTPS endpoints
  • Execution history, visual debugging, and CloudWatch Logs integration
  • Python-based DAG authoring with dependencies and scheduling
  • Event-driven execution, retries, monitoring, and execution logs
  • Human approvals, provider packages, and REST API access
Cons
  • Cloud deployment model limits use outside AWS-hosted environments
  • Standard Workflows charge for state transitions, including retries
  • Express Workflows target executions lasting up to five minutes
  • Self-hosted deployment requires teams to manage the environment
  • No visual workflow builder for drag-and-drop authoring
  • Python-based authoring may not suit teams avoiding code-defined workflows
Our verdict

AWS Step Functions is a managed workflow orchestration service for coordinating distributed applications, microservices, data-processing jobs, machine-learning pipelines, and IT automation. It suits teams building on AWS that need visual…

Read the review →

Apache Airflow is an open-source workflow orchestration platform for teams that define and operate data pipelines, machine-learning workflows, infrastructure automation, and other batch-oriented processes. Workflows are authored in Python…

Read the review →
  1. AWS Step FunctionsWorkflow Orchestration Software 9.3Free plan
  2. Apache AirflowWorkflow Orchestration Software 9.2Free plan

Strengths and trade-offs

  • AWS Step Functions — where it wins

    • Visual state-machine design with branching, parallelism, retries, and approvals
    • Deep integrations across AWS services and HTTPS endpoints
    • Execution history, visual debugging, and CloudWatch Logs integration

    Where it doesn't

    • Cloud deployment model limits use outside AWS-hosted environments
    • Standard Workflows charge for state transitions, including retries
    • Express Workflows target executions lasting up to five minutes

  • Apache Airflow — where it wins

    • Python-based DAG authoring with dependencies and scheduling
    • Event-driven execution, retries, monitoring, and execution logs
    • Human approvals, provider packages, and REST API access

    Where it doesn't

    • Self-hosted deployment requires teams to manage the environment
    • No visual workflow builder for drag-and-drop authoring
    • Python-based authoring may not suit teams avoiding code-defined workflows

More comparisons

All workflow orchestration software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update