We’ve been running Camunda for about eighteen months now, and I’m trying to get a clear picture of where our money’s actually going. On the surface, it looks like licensing is the big cost driver, but when I dig into our time sheets, I’m seeing dev teams spending enormous amounts of hours just maintaining and tweaking workflows.
The thing is, every time a business user wants a small change—adding a new field, rerouting an approval, connecting to a new API—it turns into a two-week engineering effort. That’s not just frustrating, it’s expensive.
I’ve been hearing that some platforms let non-technical people tweak automations without pulling developers in, and honestly, that sounds like it could cut our costs significantly. But I’m not sure if that’s marketing speak or if it actually works in practice.
I’m trying to build a model for our finance team that breaks down TCO into real categories: licensing fees, infrastructure, developer time, and ongoing maintenance. Right now I’m just guessing.
Has anyone actually measured this split? What percentage of your automation budget is pure licensing versus the people cost?
Been through this exact breakdown. At my place, we realized about 65% of our Camunda spend was developer time, not licensing. The licenses were fixed, but the customization hours just kept climbing.
What changed things for us was getting a tool that let business analysts actually own the workflows. We didn’t eliminate developer involvement, but it cut our support tickets in half because people could make simple changes themselves.
In Camunda, every little change needs code review and testing. That overhead adds up fast. If you can shift even 30% of those tweaks to a self-service model, your numbers will look very different.
The licensing is the easy part to measure. Dig into your timesheets and look at how many hours go to workflow modifications versus actual feature building. That’s where the real cost is hiding.
I’d push back on the assumption that licensing is the main cost. Most teams I’ve worked with find that developer time dwarfs the actual software costs.
Here’s the reality: Camunda requires skilled engineers to maintain it. You’re not just paying for the tool, you’re paying for the expertise to keep it running and the back-and-forth with business stakeholders who want changes. That’s expensive.
I’d recommend building your TCO model with three buckets: direct software costs, developer time (including support and customization), and opportunity cost (projects delayed because engineering is tied up on workflow maintenance). That last one is often invisible but huge.
Don’t try to estimate developer time from salary alone. Calculate actual hours spent on Camunda-related work in a month, then multiply it out.
Our analysis showed that licensing was maybe 20% of the total cost. The rest was people and infrastructure. Every workflow change required code, testing, and deployment overhead.
We actually looked at alternatives because the math didn’t work anymore. The moment we found something that let business users make changes directly—no code required—the equation flipped. Suddenly we could do more automations with the same team.
Start by tracking a week of actual developer activity. You’ll see pretty quickly where the time is going.