SF

Sachin Frayne

Senior Support Engineer

Author's articles

The hash() Elasticsearch won't name and the 12 bytes that prove it's Murmur3

June 25, 2026

The hash() Elasticsearch won't name and the 12 bytes that prove it's Murmur3

Elasticsearch's routing formula uses MurmurHash3, but the docs never say so. This post names the function, walks through the full shard calculation, and shows you how to reproduce it externally.

Elasticsearch DiskBBQ delivers 7x faster vector search than Qdrant on network-attached storage

June 24, 2026

Elasticsearch DiskBBQ delivers 7x faster vector search than Qdrant on network-attached storage

Elasticsearch DiskBBQ achieves up to 7x higher vector search throughput than Qdrant at comparable recall on network-attached storage. Explore the benchmark methodology and full results.

Jingra: A Reproducible Framework for Vector Search Benchmarking

June 18, 2026

Jingra: A Reproducible Framework for Vector Search Benchmarking

Jingra is an open source benchmarking framework that runs the same vector search workload across Elasticsearch, OpenSearch and Qdrant so you can compare engines under identical, reproducible conditions.

Elasticsearch vector search is up to 8x faster than OpenSearch

February 25, 2026

Elasticsearch vector search is up to 8x faster than OpenSearch

Exploring filtered vector search benchmarks of OpenSearch vs. Elasticsearch and why vector search performance is critical for context-engineered systems.

How to implement Better Binary Quantization (BBQ) into your use case

April 23, 2025

How to implement Better Binary Quantization (BBQ) into your use case

Explore why you would implement Better Binary Quantization (BBQ) in your use case and how to do it.

Hotspotting in Elasticsearch and how to resolve them with AutoOps

November 20, 2024

Hotspotting in Elasticsearch and how to resolve them with AutoOps

Explore hotspotting in Elasticsearch and how to resolve it using AutoOps.

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