AWS step functions vs Camunda for workflow


I am not sure if I am comparing Apples to Oranges, but both Camunda and Step Functions of AWS seem to address the same thing: Workflows. Help me with the comparison of both, which to use when. Are they replaceable?


You are not comparing apples to oranges. Both tools are workflow engines.

As a background read, the comparison is also discussed for example here:

Differences in essence:

  • Process modeling language (Proprietary Amazon State Language vs. standardized BPMN supporting more language constructs from
  • Visualization of process models for different stakeholders (simple auto-generated for Step Functions, BPMN for Camunda)
  • Architecture possibilities (Step functions are cloud-only and even AWS-only, but then of course integrated in the AWS world; Camunda is independent and can run in any environment, but also needs additional work to integrate with AWS).

As a rule of thumb:

  • Use Step Functions if you have quite technical workflows that need to work only in the AWS world
  • Use Camunda in all other cases, including more hybrid environments and “bigger” processes

I also described this more in

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