Yeah, the SPARQL people need to realize that the semantic web was a massive dud in the programming and database market, and a lot of that was overreach, overpromise, and a lack of focus on "real-world" problems.

Thus, if someone is looking to unify graph QLs that are in actual use in "business" problems, SPARQL and the overall RDF aren't going to get attention. You can start with the fact that RDF basically assumes you want to globally address all your data with URIs, which will result in ridiculously verbose overhead in naming/addressing. Nevermind the fact that such things basically promise some sort of long term durability that the actual web has shown doesn't exist. After all, today's URI link to URI www.tla.com/link/to/some/data can mean the world wide wrestling foundation one day, and the world wildlife foundation the next.

In particular, Gremlin was adopted by DSE / Titan / successor to Titan which ran atop Cassandra for near-limitless scalability.

RDF and the Semantic web, while being intended for the massive WWW, seemed to not have any care for demonstrating techniques, queries, and architectures at scale.

Likewise, are Datalog and Prolog used extensively?