Graph Database Benchmark

Benchmark Summary

TigerGraph Leaps Past the Competition

NEW THIRD PARTY BENCHMARK (Neo4j and TigerGraph)

In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)

Access the report via Cornell University here

GRAPH DATABASE BENCHMARK REPORT 

This benchmark compares TigerGraph to Neo4j, Amazon Neptune, JanusGraph and ArangoDB in the following categories:

Queries: For 2-hop path queries, TigerGraph is 40x to 337x faster than other graph databases.

Storage: When comparing storage requirements for the same raw data, other graph databases need 5x to 13x more disk space compared to TigerGraph.

Loading: TigerGraph loads data 1.8x to 58x faster than other graph databases.

Scale: TigerGraph scales almost linearly with additional machines, achieving 6.7x speedup with 8 machines for the computationally intensive PageRank algorithm. Neo4j and Amazon Neptune cannot partition a graph across multiple machines for the versions tested, thus could not be tested for this part.

Click below for the benchmark summary or download the full report.