How fast is Neo4j for graph traversal?

Neo4j traversal performance: 1-2 million relationships per second on commodity hardware. 3-hop query on 1M nodes: 10-50ms. 6-hop query: 100ms-2 seconds (exponential relationship count). Index-free adjacency (pointer-based): O(1) per hop regardless of graph size. Use LIMIT and MATCH clauses to bound traversal depth.

When should you use a graph database vs relational?

Use graph database when: queries involve 3+ join depth, relationships are first-class data (social graphs, supply chains), graph algorithms (PageRank, community detection) are needed. Keep relational when: data is tabular, queries are simple filtering, and team lacks graph query expertise. Graph shines at 3+ hop relationships where SQL joins become exponentially slower.

Graph Database Traversal Cost Calculator

Estimate graph database traversal cost for path finding queries. Model Neo4j traversal performance by hop count, node degree, and index coverage.

Networking

Algorithms

Binary & Number

Systems

Dev Metrics

IP Subnet Calculator

IP Address

CIDR Prefix

Network

192.168.1.0

Broadcast

192.168.1.255

Subnet Mask

255.255.255.0

First Host

192.168.1.1

Last Host

192.168.1.254

Usable Hosts

254

Binary breakdown:

IP: 11000000.10101000.00000001.00000000

Mask: 11111111.11111111.11111111.00000000

Net: 11000000.10101000.00000001.00000000

How to Use

Enter the values for the patient or scenario you are assessing. Estimate graph database traversal cost for path finding queries. Model Neo4j traversal performance by hop count, node degree, and index coverage. Use the graph db traversal result to inform your clinical assessment.

Related Calculators

Knowledge Graph Resolution

AI & Technology

Search NDCG Score

AI & Technology

Dashboard Refresh Rate

AI & Technology

Graph Database Traversal Cost Calculator

IP Subnet Calculator

How to Use

Related Calculators

Frequently Asked Questions

How fast is Neo4j for graph traversal?

When should you use a graph database vs relational?