TuringDB Benchmarks

This page showcases the performance of TuringDB vs Neo4j and Memgraph across a series of real-world graph analytics queries using:

The goal of this benchmark is to compare the out-of-the-box performance of TuringDB with Neo4J and Memgraph on a few basic queries on the Reactome knowledge graph.

Results Overview

You can find more technical details in the Technical Report page and on turing-bench GitHub repo. Especially you can find daily run information here.

Reactome

Metric	Count
Nodes	2,978,202
Relationships	11,537,843
Node Labels	108
Relationship Types	88
Benchmark Queries	34

Query	TuringDB	Neo4j	Memgraph	Speedup vs Neo4j	Speedup vs Memgraph
`MATCH (n:Drug) RETURN n`	2ms	977ms	371ms	488x	186x
`MATCH (n:ProteinDrug) RETURN n`	1ms	221ms	340ms	221x	340x
`MATCH (n:Drug:ProteinDrug) RETURN n`	1ms	270ms	359ms	270x	359x
`MATCH (n:Taxon)-->(m:Species) RETURN n,m`	1ms	259ms	301ms	259x	301x
`MATCH (n)-->(m:Interaction)-->(o) RETURN n,m,o`	707ms	33117ms	32609ms	47x	46x
`MATCH (n{displayName:"Autophagy"}) RETURN n`	283ms	918ms	629ms	3.2x	2.2x
`MATCH (n{displayName:"Autophagy"})-->(m) RETURN m`	216ms	628ms	540ms	2.9x	2.5x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p) RETURN p`	215ms	622ms	569ms	2.9x	2.6x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p)-->(q) RETURN q`	370ms	878ms	702ms	2.4x	1.9x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p)-->(q)-->(r) RETURN r`	236ms	2776ms	2595ms	12x	11x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p)-->(q)-->(r)-->(s) RETURN s`	296ms	5784ms	5012ms	20x	17x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p)-->(q)-->(r)-->(s)-->(t) RETURN t`	493ms	17983ms	17256ms	36x	35x
`MATCH (n{displayName:"Autophagy"})-->(m)-->(p)-->(q)-->(r)-->(s)-->(t)-->(v) RETURN v`	1149ms	66876ms	54252ms	58x	47x
`MATCH (n{displayName:"APOE-4 [extracellular region]"}) RETURN n`	351ms	887ms	705ms	2.5x	2.0x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m) RETURN m`	215ms	734ms	567ms	3.4x	2.6x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p) RETURN p`	211ms	616ms	603ms	2.9x	2.9x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p)-->(q) RETURN q`	213ms	613ms	585ms	2.9x	2.7x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p)-->(q)-->(r) RETURN r`	213ms	649ms	560ms	3.0x	2.6x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p)-->(q)-->(r)-->(s) RETURN s`	211ms	669ms	537ms	3.2x	2.5x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p)-->(q)-->(r)-->(s)-->(t) RETURN t`	211ms	644ms	557ms	3.1x	2.6x
`MATCH (n{displayName:"APOE-4 [extracellular region]"})-->(m)-->(p)-->(q)-->(r)-->(s)-->(t)-->(v) RETURN v`	215ms	11087ms	465ms	52x	2.2x
`MATCH (n)-[e:release]->(m) RETURN n,m`	240ms	4046ms	3162ms	17x	13x
`MATCH (n)-[e:interactor]->(m) RETURN n,m`	318ms	26174ms	25184ms	82x	79x
`MATCH (n)-[e:surroundedBy]->(m) RETURN n,m`	202ms	1548ms	367ms	7.7x	1.8x
`MATCH (n)-[:hasEvent]->(m) RETURN n,m`	292ms	11204ms	11008ms	38x	38x
`MATCH (n:Pathway)-[:hasEvent]->(m:ReactionLikeEvent) RETURN n,m`	94ms	8442ms	8696ms	90x	93x
`MATCH (r:ReactionLikeEvent)-[:output]->(s:PhysicalEntity) RETURN r,s`	184ms	13383ms	13591ms	73x	74x
`MATCH (n:DatabaseObject{isChimeric:false}) RETURN n`	239ms	2507ms	1538ms	10x	6.4x
`MATCH (n:DatabaseObject{isChimeric:true}) RETURN n`	213ms	799ms	429ms	3.8x	2.0x
`MATCH (b)-->(a:Pathway) RETURN a`	324ms	4447ms	5917ms	14x	18x
`MATCH (c)-->(b)-->(a:Pathway) RETURN a, c`	2318ms	35138ms	34946ms	15x	15x
`MATCH (c)-->(b)-->(a:Pathway) RETURN b`	2109ms	22699ms	22932ms	11x	11x
`MATCH (c)-->(b)-->(a:Pathway) RETURN c`	1978ms	18090ms	17969ms	9.1x	9.1x
`MATCH (c)-->(b)-->(a:Pathway) RETURN a`	1977ms	22424ms	23598ms	11x	12x

Poledb

Metric	Count
Nodes	61,521
Relationships	105,840
Node Labels	11
Relationship Types	17
Benchmark Queries	14

Query	TuringDB	Neo4j	Memgraph	Speedup vs Neo4j	Speedup vs Memgraph
`MATCH (n) RETURN n`	57ms	3130ms	1858ms	55x	33x
`MATCH (p:Person) RETURN p`	3ms	134ms	25ms	45x	8.3x
`MATCH (p:Person) RETURN count(p)`	1ms	115ms	8ms	115x	8.0x
`MATCH (c:Crime) RETURN c`	15ms	842ms	772ms	56x	51x
`MATCH (c:Crime) RETURN count(c)`	1ms	45ms	13ms	45x	13x
`MATCH ()-[r]->() RETURN r`	64ms	2660ms	2386ms	42x	37x
`MATCH ()-[r]->() RETURN count(r)`	9ms	55ms	28ms	6.1x	3.1x
`MATCH (p:Person {name: 'John'})-[:PARTY_TO]->(c:Crime) RETURN p, c`	4ms	24ms	0ms	6.0x	-
`MATCH (p:Person)-[:PARTY_TO]->(c:Crime) RETURN p.name, p.surname, c.type`	1ms	28ms	11ms	28x	11x
`MATCH (p:Person {surname: 'Smith'})-[r]->(n) RETURN p`	3ms	64ms	2ms	21x	0.7x
`MATCH (p:Person)-[r]->(n) WHERE p.surname = 'Smith' RETURN p`	3ms	60ms	1ms	20x	0.3x
`MATCH (p1:Person)-[:PARTY_TO]->(c:Crime)<-[:PARTY_TO]-(p2:Person) WHERE p1 <> p2 RETURN p1.name, p2.name, c.type`	1ms	126ms	8ms	126x	8.0x
`MATCH (p1:Person)-[:KNOWS]->(p2:Person)-[:PARTY_TO]->(c:Crime) RETURN p1.name, p2.name`	1ms	24ms	11ms	24x	11x
`MATCH (c:Crime)-[:OCCURRED_AT]->(l:Location) RETURN l.postcode`	30ms	553ms	362ms	18x	12x

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