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AWS Step Functions vs ZenML

A side-by-side comparison of AWS Step Functions and ZenML across 26 workflow orchestration capabilities. AWS Step Functions fully supports 18 of them and ZenML fully supports 13; of the 12 mandatory features, AWS Step Functions covers 10 and ZenML covers 9.

AWS Step Functions

AWS Step Functions is a fully managed, serverless workflow orchestration service that coordinates AWS services, Lambda functions and microservices using state machines defined in Amazon States Language.

Features fully supported18 / 26
Mandatory features: 10 / 12View profile

ZenML

ZenML is an open-source MLOps framework that lets teams write ML and AI pipelines in Python once and run them on any orchestrator and infrastructure stack.

Features fully supported13 / 26
Mandatory features: 9 / 12View profile

Feature comparison

13 of 26 capabilities differ between AWS Step Functions and ZenML.

Change tools
CapabilityAWS Step FunctionsZenML
DAG-based workflow definition
Define dependencies and execution order
Mandatory		PartialYes
Code-first workflows
Versionable, testable workflows
Mandatory		PartialYes
Declarative workflow model
Predictability, reproducibility
Mandatory		YesPartial
Task dependency resolution
Correct execution order
Mandatory		YesYes
Persistent workflow state
Crash recovery, observability
Mandatory		YesYes
Task retries
Handle transient failures
Mandatory		YesYes
Retry policies (backoff, limits)
Avoid cascading failures
Recommended		YesYes
Scheduling (cron / time-based)
Automated recurring workflows
Depends		PartialPartial
Event-driven execution
React to external systems
Depends		YesPartial
Backfills / replays
Reprocess historical data
Depends		NoNo
Idempotency support
Safe retries & replays
Mandatory		YesPartial
Exactly-once semantics
Correctness for business workflows
Optional		YesNo
Long-running workflows (days/months)
Business processes, approvals
Depends		YesPartial
Human-in-the-loop steps
Approvals, manual actions
Optional		YesPartial
Dynamic workflows at runtime
Conditional execution
Depends		PartialPartial
Workflow versioning
Safe evolution over time
Recommended		YesYes
Distributed execution
Scalability
Mandatory		YesYes
High availability scheduler
Production reliability
Recommended		YesPartial
Fault-tolerant execution
Crash safety
Mandatory		YesPartial
Observability (logs, states, UI)
Debugging & ops
Mandatory		YesYes
Workflow-level visibility
Understand end-to-end runs
Mandatory		YesYes
Task isolation
Failure containment
Mandatory		YesYes
Native Kubernetes support
Modern infra compatibility
Depends		PartialYes
Multi-language SDKs
Polyglot systems
Optional		YesNo
Deterministic replay
Safe recovery & correctness
Optional		NoNo
Pluggable execution backends
Flexibility
Recommended		NoYes

* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.

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Learn more

Read the full profiles, including pros and cons, installation and alternatives.

AWS Step FunctionsZenML

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