| Hi, I'm the technical founder of Zato Source. In real-world, business and enterprise situations, which is where Zato is used, about 99% of latency comes from the backend systems that your API integration platform integrates. These are all the databases, CRMs, IoT, cloud and other software or hardware components that you'll be integrating. Whether you use Python or not, they're always going to be the culprits. That it's very convenient to integrate complex systems in Python is what does matter though. Consider that a network of hospitals, an airport, or a telecommunications operator will have at least 50-500 different sorts of systems to integrate, and to do it properly you need to have a team of at least 6-10 people working for several years. Looking at it from that perspective, taking the whole enterprise into account, Python is the only choice. It's easy to find people with backend experience who will be eager to work on API-heavy projects, new people leaving universities know primarily Python, and the kinds of complex business logic that is needed to handle such scenarios are best expressed in a very high-level language. Here's a few articles for you to explore this subject further: https://zato.io/articles/index.html |