I am just going to say: have a try with the LDBC social benchmark http://ldbcouncil.org/ http://ldbcouncil.org/ and http://ldbcouncil.org/benchmarks http://ldbc

I am just going to say: have a try with the LDBC social benchmark http://ldbcouncil.org/ http://ldbcouncil.org/ and http://ldbcouncil.org/benchmarks http://ldbcouncil.org/benchmarks. Where you can even have audited results. These are also graph database benchmarks that are synthetic, designed to look like real data and are quite hard to do well on. As someone responsible for a public free to use deployment of a graph database with more than 2 billion nodes and 15 billion edges (sparql.uniprot.org) I must say this looks like a SPARQL benchmark from 10 years ago.