Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adding a summary blog post announcing publication of the TrailOfBits performance blog post #3690

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Adding a summary blog post announcing publication of the TrailOfBits performance blog post #3690

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 14 additions & 0 deletions _posts/2025-03-06-Tracking-the-Evolution-of-OpenSearch-Performance.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
---
layout: post
title: "Tracking the Evolution of OpenSearch Performance"
authors:
- jhandler
date: 2025-03-06
categories:
- community
meta_keywords: OpenSearch, performance, big5, Elasticsearch, vectorsearch, TrailOfBits, benchmarks
meta_description: An assessment of query performance improvement in OpenSearch and a comparison with Elasticsearch performance
---

[Trail of Bits](https://www.trailofbits.com/), an independent research, and consulting company recently completed a detailed analysis of OpenSearch performance. Read the [blog post](https://blog.trailofbits.com/2025/03/06/benchmarking-opensearch-and-elasticsearch/) and [detailed analysis](https://github.com/trailofbits/publications/blob/master/reports/OpenSearch-Benchmarking.pdf) to find out key performance metrics for the Big 5 workload! [OpenSearch](https://opensearch.org/) is a fully open-source, Apache V2 Licensed project, under the Linux Foundation that provides lexical search, log analytics, and a vector database for semantic search and generative AI workloads. The project includes [OpenSearch](https://github.com/opensearch-project/OpenSearch), a search engine, [OpenSearch Dashboards](https://opensearch.org/docs/latest/dashboards/), a visualization and monitoring UI, [OpenSearch Data Prepper](https://opensearch.org/docs/latest/data-prepper/), an ingestion and processing engine, and [OpenSearch Benchmark](https://opensearch.org/docs/latest/benchmark/), a benchmarking tool for measuring OpenSearch performance.