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HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search

Summary: Harmony: distributed ANNS with a multi-gran partition (dimension-based + vector-based) for balanced load, reduced comms. Early-stop pruning leverages distance monotonicity to prune, delivering 4.63x throughput on 4 nodes and 58% gains on skewed workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7324
Venue
SIGMOD
Year
2026
Pagerank
4.2643674e-05
Overall Rank
9,879 | 31.28%
DOI
10.1145/3749167

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Rank Citing Paper Year Venue Pagerank
10,237 Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search 2026 VLDB 4.1945683e-05
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