4x Performance Boost with Elasticsearch v9 Upgrade for Vector Search
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Trendyol ran a head-to-head load test comparing Elasticsearch v9.2.1 against v8.18.3 on a 27-node cluster with 9 million documents and dual dense vectors (415d + 256d). Using hybrid search queries (filter + k-NN + script scoring), v9.2.1 delivered roughly 2× the throughput, ~50% less CPU usage, and up to ~10× better p99 latency
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Key takeaways (at a glance)Introduction🏗 1. The lab: infrastructure and stress scenarioSort: