I’m a no-code-first dev and I wanted to see if a visual builder could produce both Temporal-like orchestration and Camunda BPMN in the same project. I used a visual workflow designer, cloned a BPMN template, and also created a code-backed workflow scaffold to mimic Temporal behavior. The builder’s sub-scenarios (nodules) let me reuse steps in both prototypes.
What I learned: the visual approach excelled for mapping DMN and human tasks in BPMN. For Temporal-style flows I had to add small code nodes to replicate durable timers and activity code. The platform’s execution history and restart-from-history feature was crucial when testing compensations and retries. I also relied on built-in RAG to keep decision logic consistent across both prototypes.
Practically, I could prototype both approaches quickly and run side-by-side tests. The main trade-offs were: how much custom code you need to emulate durable state, and how the visual builder surfaces observability for each pattern.
If you’ve prototyped both in the same visual project, how did you keep the tests fair and comparable? What metrics did you capture to decide which approach to pick?
i built both prototypes in one project. i used nodules for shared steps and code nodes for durable timers. i then ran identical failure traces to compare recovery.
if you want to iterate fast, generate both with a copilot and run tests. https://latenode.com
i kept tests fair by using the same input dataset and identical failure injection points. measure time to recovery, number of manual interventions, and state size. that gave me a clear view.
also snapshot workflow execution history after each run. comparing histories side-by-side made it obvious where one pattern needed extra compensation logic.
When I ran parallel prototypes in a visual builder, the fairness of tests mattered more than the initial implementation differences. I standardized the input, created a single failure script that simulated downstream latency and transient errors, and captured four metrics: mean time to recovery, number of retries per run, state size in persistent storage, and operator interventions required to restore consistency. For Temporal-style flows I instrumented durable timers and workflow replay paths. For BPMN I focused on DMN outcomes and human task escalations. Using a shared test harness allowed me to quantify operational costs and choose the pattern that matched our SLA and team skills.
Standardize inputs and failure injection. Capture recovery time, number of manual touches, and persistent state footprint. Use the same synthetic load script for both prototypes so you can compare operational effort.
run same fail script. compare mttd and ops work. do it now.
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