That is more a question of formatting your queries. I can show SPARQL to our data analyst and biologists and they get them. Equivalent Cypher is supper confusin

That is more a question of formatting your queries. I can show SPARQL to our data analyst and biologists and they get them. Equivalent Cypher is supper confusing because the queries tend to be quite large and the space between the MATCH and WHERE sections as done in the queries I have seen makes it hard to follow. MATCH (p:Person) WHERE 3 <= p.yearsExp <= 7 RETURN p or PREFIX :<my_bussines_vocab> SELECT ?p WHERE { ?p a :Person ; :yearsExp ?ye . FILTER (3 <= ?ye && ?ye <= 7) } Yes there is a prefix. But if well used they can be super useful. Filter interspersed with the graph pattern helps once the queries get very complicated. I have never seen a real study of Cypher being easier to read than equivalently well formatted Sparql. MATCH (j:Person {name: 'Jennifer'})-[:LIKES]->(:Technology {type: 'Graphs'})<-[:LIKES]-(p:Person), (j)-[:IS_FRIENDS_WITH]-(p) RETURN p.name or PREFIX :<my_bussines_vocab> SELECT ?pName WHERE { ?j a :Person ; :name 'Jenifer' ; :likes ?graphTech . ?p a :Person ; :name ?pName ; :likes ?graphTech ; :isFriendsWith ?s . ?graphTech a :Technology ; :type 'Graphs' . } The Cypher is difficult in this example because it goes both directions in the linkage, first part is read left to right, second right to left. Making it hard to decompose, and the < or > in the directions are easily missed once the queries get larger. PREFIX :<my_bussines_vocab> SELECT ?pName WHERE { ?j a :Person ; :name 'Jennifer' ; :likes [ a :Technology ; :type 'Graphs'] ; ^:likes ?p . ?p a :Person ; :isFriendsWith ?j } Would be a very close version layout wise to the earlier example from the Cypher tutorial. But I don't think anyone would write that without spending some serious thought about obfuscation ;)