[Gulthor]

Recommended reads on the native vs non-native topic:

* https://www.datastax.com/dev/blog/a-letter-regarding-native-... (tldr; there is no such thing as a native graph database)

* https://neo4j.com/blog/note-native-graph-databases/ (tldr; native graph databases do exist)

Regarding Cypher vs Gremlin: serialization could be a thing but what matters among other things are efficient query optimizations, algorithm and (physical) data model. Ultimately, databases are all reading from 1-dimensional spaces (RAM or disk), either randomly or (best) sequentially. If you can colocate vertices with their respective edges, you're fine: this is trivial for graphs with no edges or graphs that form a linear chain. If not, then things start to become fun, especially in a distributed way. This will impact performance; the language, not so much.

[rajman187]

I'm familiar with Marko and his arguments hence my quotes around "native" ;) But it sounds fantastic for marketing