For a relatively novel data model with potentially unusual performance characteristics, the chance of finding a properly done, fair, and generally understandable benchmark is virtually impossible.
See eg https://en.wikipedia.org/wiki/List_of_SPARQL_implementations
https://en.wikipedia.org/wiki/Datalog#Systems_implementing_D...
Also the various RDF things from the days of semantic web enthusiasm.
For active competitors, maybe the various GraphQL things and
As a small business, the choice seems to be pretty straightforward--pay multiple salaries to do PR, damage control, reputation management, etc. (and compete with huge corporations with deep pockets)...or pay those same salaries to engineers to build a better product for your customers, and get your customers to promise not to create PR headaches for you.
If something sucks, they will shout it to the skies. If it performs better or saves their ass on a key feature, they will shout it to the skies.
Let those shouts echo, and the equilibrium is how we decide on what's next.
Censorship is almost always a bad idea. Furthermore, you shouldn't chill the ability of people to talk about a platform if you eat your own dogfood and believe in it.
A license that prohibits a public benchmark is something only a few people care about.
Having seen hordes of developers on IRC, Reddit, and HN develop outdated gut reactions that they still invoke years after the fact has led me to believe that benchmark prohibition is easily worth it.