Home / Companies / Elastic / Blog / Post Details
Content Deep Dive

Elasticsearch vs. OpenSearch: Performance and resource utilization analysis

Blog post from Elastic

Post Details
Company
Date Published
Author
George Kobar,
Word Count
1,890
Company Posts That Month
29
Language
-
Hacker News Points
-
Post removed?
No
Summary

In a comprehensive comparison of Elasticsearch 8.7 and OpenSearch 2.7, Elasticsearch consistently outperformed OpenSearch across various performance metrics, demonstrating a speed improvement of 40%–140% in key areas such as text querying, sorting, date histogram, range, and terms. The study highlighted Elasticsearch's superior resource efficiency, using less disk space and optimizing data compression better than OpenSearch. The testing involved creating equivalent clusters for each platform and running extensive queries to ensure statistical accuracy, validated by a third-party enterprise strategy group. The findings suggest that Elasticsearch offers a compelling choice for organizations requiring fast, efficient, and accurate search capabilities, making it particularly suited for use cases in ecommerce, security analysis, and large-scale observability.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 3 1,432 181 75 -56%
Data Pipeline 1 385 129 59 +31%
Observability 1 1,322 241 84 -7%
Real-time 1 2,440 626 177 +28%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.