Graph Traversal Performance: Native Storage vs Graph Layers
Why architectural decisions matter for deep dependency queries
Hops
Native Graph (Neo4j)
Graph Layer (RDBMS)
Graph Layer (Document)
Performance Gap
1
4ms
12ms
18ms
3–4.5×
3
11ms
1,400ms
2,100ms
127–191×
5
18ms
35,000ms
48,000ms
1,944–2,667×
7
25ms
TIMEOUT
TIMEOUT
>1,700× (est.)
10
35ms
TIMEOUT
TIMEOUT
>1,700× (est.)
Key Insight: For IT dependency management requiring 5-10 hop traversals (incident response, change impact analysis), native graph storage isn't just faster — it's the only architecturally viable option!
Benchmarks: 500K nodes, avg 4 connections/node, Intel Xeon, 32GB RAM, SSD. Neo4j 5.x vs Apache AGE on PostgreSQL 15 vs MongoDB with graph capabilities.