The Graph Database Benchmark compares TigerGraph to Neo4j, Amazon Neptune, JanusGraph and ArangoDB for loading, storage, graph query and scalability with hardware.

• For 2-hop path queries, TigerGraph is 40x to 337x faster than other graph databases.
• When comparing storage requirements for the same raw data, other graph databases need 5x to 13x more disk space compared to TigerGraph.
• TigerGraph loads data 1.8x to 58x faster than other graph databases.
• 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.

For the instant download of the Benchmarking Graph Analytic Systems Summary, click below.