---
title: "4x Performance Boost with Elasticsearch v9 Upgrade for Vector Search"
url: https://daily.dev/posts/4x-performance-boost-with-elasticsearch-v9-upgrade-for-vector-search-iw8wlbmfe
source_url: https://medium.com/trendyol-tech/4x-performance-boost-with-elasticsearch-v9-upgrade-for-vector-search-23fb1efafa9f
type: article
source: "Trendyol Tech"
published: 2026-02-24T18:52:51.643Z
updated: 2026-02-24T18:53:38.410Z
tags: ["elk", "vector-search"]
reading_time: 7
upvotes: 1
comments: 0
language: en
---

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# 4x Performance Boost with Elasticsearch v9 Upgrade for Vector Search

**[Trendyol Tech](https://daily.dev/sources/trendyoltech)** · 7 min read · 1 upvotes · 0 comments

## Summary

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 under high concurrency. At 960 concurrent workers, v8's p99 latency hit 1.95 seconds while v9 held at 188 ms. Beyond 960 workers, v8 crashed entirely while v9 scaled to 40k+ req/min. The conclusion is a strong recommendation to upgrade from 8.x to 9.2.1 for any vector or hybrid search workload.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/trendyol-tech/4x-performance-boost-with-elasticsearch-v9-upgrade-for-vector-search-23fb1efafa9f>

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---

Tags: [#elk](https://daily.dev/tags/elk), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/4x-performance-boost-with-elasticsearch-v9-upgrade-for-vector-search-iw8wlbmfe)
