When a startup is choosing its tech stack, the question of cost is a major one. For a long time, the thinking went like this: .NET is expensive, and open-source languages like Python and JavaScript are free. But in today's software landscape, that idea is outdated and misleading.
To make an informed decision, you need to look beyond a simple price tag and consider the Total Cost of Ownership (TCO). TCO includes all the expenses associated with a software project throughout its lifecycle, from initial development to long-term maintenance. Here's how the different factors break down.
This is where the biggest myth about .NET's cost comes from. In the past, developers relied on expensive licenses for the Windows operating system, database software, and the full version of Visual Studio.
Bottom Line: The up-front cost of the tech stack itself is virtually zero for all three options. Any costs for advanced tools or services are optional.
The largest expense for any software startup is people. The cost of a developer is a function of supply and demand, and salaries for .NET, Python, and JavaScript developers are often quite comparable.
Bottom Line: Developer salaries are a significant TCO factor, but the cost difference between the three languages is often negligible and depends more on the specific role and location.
The real TCO isn't about how much you spend on Day 1, but how much you spend over the next several years on bug fixes, new features, and infrastructure.
Bottom Line: Your choice of language can have a major impact on your long-term hosting and maintenance costs. The initial cost savings of an open-source language may be offset by higher operational costs as you scale.
For a startup today, the decision between .NET, Python, and JavaScript is no longer a simple matter of cost. The tooling and licensing fees are no longer a major differentiator, and developer salaries are relatively comparable across the board. The real TCO of your project will be determined by your team's expertise, the specific needs of your application, and the long-term trade-offs between development speed and long-term maintainability.