Learn how Elasticsearch and Onyx differ in their key features, development activity, technology stack and community adoption, so you can decide which of these tools is best for you.
Last 30 days
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Elasticsearch and Onyx have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Elasticsearch leads in popularity with 77,843 stars vs 31,576 stars for Onyx. The 147% higher star count indicates stronger community adoption. In terms of developer contributions, Elasticsearch has 26,056 forks, indicating strong developer engagement.
Onyx is growing faster, adding 696 stars in the last 30 days (+2.3%) against adding 224 stars for Elasticsearch (+0.3%). Onyx is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Elasticsearch last updated 2 hours ago and Onyx 52 minutes ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, Python. However, they differ in their additional technology choices: Elasticsearch uses C, Objective-C, Java, C++ while Onyx leverages JSX, Next.js.
Elasticsearch has been in development longer, starting 17 years ago, compared to Onyx which began 3 years ago. This 13.4-year head start suggests Elasticsearch may have more mature features and established processes.
Onyx is licensed under MIT, while Elasticsearch's license terms are not publicly specified.
Elasticsearch also focuses on Log Management, Search Engines, NoSQL & Document Databases while Onyx extends into Enterprise Knowledge Search.
Both Elasticsearch and Onyx offer self-hosting capabilities, giving you full control over your data and infrastructure.