[BLOG] Tracking the Evolution of OpenSearch Performance

[gkamat]

Describe the blog post

An independent consulting firm, TrailOfBits is publishing a blog post that compares OpenSearch performance against that of ElasticSearch on their own site. This is a short summary blog that is intended to inform, create interest, and direct users to the actual post.

Expected Title

Tracking the Evolution of OpenSearch Performance

Authors Name

Govind Kamat

Authors Email

[email protected]

Target Draft Date

03/03/2024

Blog Post Category

technical, community, partners

Target Publication Date

03/07/2024

Additional Info

Rough Draft

For any search engine, performance is critical to enable users to obtain fast, accurate and relevant results for their search queries, and it is no different with OpenSearch. This Apache 2.0-licensed open source search and analytics suite makes it easy to ingest, search, visualize, and analyze data. However, measuring and analyzing performance is a non-trivial and complex undertaking.

TrailOfBits is a well-respected, independent research and consulting firm that recently carried out a detailed performance assessment of OpenSearch that tracks how performance has evolved over several recent releases. They have also looked at how OpenSearch performance compares with that of Elasticsearch. Their blog post distills performance into the following major categories: text queries, range queries, sorts, date histogram, terms aggregation and vector search. It also provides guidance on methodology and tools, as to how users can benchmark performance on their own.

As a user or an organization, this report should help you determine which search engine and version is the right one for your needs.