+1 Insightful. In fact, there's research toward showing the two are equivalent in possibility space of what can be represented/queried (https://arxiv.org/abs/1102.1889)
But yes, linked data and graphs are super powerful once the data is triplified. Suddenly you have an abstraction above the contents of your data into the 'shape' of your data.
SPARQL and RDF aren't going away, but they're the academic thing that I and others are trying to make useful. GraphQL is scratching the surface, but it's super exciting that it's scratching at all, imo.
But yes, linked data and graphs are super powerful once the data is triplified. Suddenly you have an abstraction above the contents of your data into the 'shape' of your data.
SPARQL and RDF aren't going away, but they're the academic thing that I and others are trying to make useful. GraphQL is scratching the surface, but it's super exciting that it's scratching at all, imo.
(Disclosure: Founded CayleyGraph, supporting the open source https://github.com/cayleygraph/cayley, which I maintain and mostly wrote)