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Developer benchmarks 5 graph databases, exposes geography and data-loss pitfalls

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A developer conducted a reproducible benchmark comparing CognoDB Cloud, Neo4j AuraDB, Memgraph, FalkorDB, and ArangoDB using identical datasets and workloads. Initial latency results appeared to show FalkorDB as dramatically faster, but the gap turned out to reflect network distance — CognoDB's free instance was provisioned in Virginia while the tester was located in Telangana, India. To enable fair comparisons, the developer reported latency three ways: raw wall-clock time, round-trip-adjusted time, and server-reported execution time, with the last metric being the only meaningful cross-platform measure. A second major complication emerged when CognoDB's loader reported successfully importing over 150,000 relationships, yet a verification query returned zero relationships, raising concerns about silent data loss. The findings highlight how free-tier region constraints and undetected write failures can fundamentally distort database benchmark results.

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Developer benchmarks 5 graph databases, exposes geography and data-loss pitfalls · ShortSingh