Camunda logo
vs
ZenML logo

Camunda vs ZenML

A side-by-side comparison of Camunda and ZenML across 26 workflow orchestration capabilities. Camunda fully supports 22 of them and ZenML fully supports 13; of the 12 mandatory features, Camunda covers 11 and ZenML covers 9.

Camunda

Camunda is an open-source process orchestration platform that enables developers to model, automate, and execute business processes and workflows using BPMN, DMN, and CMMN standards.

Features fully supported22 / 26
Mandatory features: 11 / 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

14 of 26 capabilities differ between Camunda and ZenML.

Change tools
CapabilityCamundaZenML
DAG-based workflow definition
Define dependencies and execution order
Mandatory
YesYes
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
YesPartial
Event-driven execution
React to external systems
Depends
YesPartial
Backfills / replays
Reprocess historical data
Depends
PartialNo
Idempotency support
Safe retries & replays
Mandatory
YesPartial
Exactly-once semantics
Correctness for business workflows
Optional
PartialNo
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
YesPartial
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
YesYes
Multi-language SDKs
Polyglot systems
Optional
YesNo
Deterministic replay
Safe recovery & correctness
Optional
PartialNo
Pluggable execution backends
Flexibility
Recommended
YesYes

* 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.