Benchmark of 5 Managed Graph Databases Shows No Single Winner Across All Workloads

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A developer benchmarked five managed graph databases — CognoDB Cloud, Neo4j AuraDB, Memgraph Cloud, FalkorDB Cloud, and ArangoDB Oasis — using the same dataset of 27,770 physics papers and 352,807 citation edges on free-tier cloud instances. Memgraph led on traversal queries and point lookups, completing 1-hop queries at a median 69ms, while Neo4j AuraDB finished second on those same tests. However, Neo4j reversed the standings on full-graph aggregation queries, outperforming Memgraph and leaving CognoDB and ArangoDB far behind at 1.8 and 4 seconds respectively. Under concurrent load testing with 10 and 40 simultaneous clients, four platforms scaled throughput roughly fourfold as expected, but ArangoDB's throughput barely moved, suggesting possible architectural or free-tier resource constraints. The results highlight that short-traversal performance and full-scan aggregation workloads stress graph databases in fundamentally different ways, making single-query benchmarks insufficient for real-world database selection.

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