So... at a high level, early React for data? In other words, letting a framework manage update dependency graph tracking, and then cascading updates through its graph in an optimized manner to enhance performance?
Obviously, with tons of implementation difficulties and details, and not actual graph structures, but as a top level analogy.
Not at all, especially because React doesn’t do much dependency tracking on its own and is built for predictable UI updates and not performance.
To be honest any parallel with frontend here is meaningless, reactivity and all the concepts at play have existed long before JS and browsers came along, it’s easier to explain from first principles.
I think that’s probably not the case for many new developers that don’t have any exposure to anything not React. Of course ‘react for data’ is entirely misleading, but it may give a decent idea if you don’t have an hour to spend on an explanation.
Obviously, with tons of implementation difficulties and details, and not actual graph structures, but as a top level analogy.