Learn how Elasticsearch and Meilisearch differ in their key features, development activity, technology stack and community adoption, so you can decide which of these search engines is best for you.

Both Elasticsearch and Meilisearch 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.
Both tools have similar popularity levels, with Elasticsearch having 77,833 stars and Meilisearch having 58,978 stars on GitHub. In terms of developer contributions, Elasticsearch has 26,045 forks, indicating strong developer engagement.
Elasticsearch and Meilisearch are moving at much the same rate, adding 303 stars and adding 350 stars respectively over the last 30 days (+0.4% vs +0.6%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Elasticsearch last updated 6 hours ago and Meilisearch 2 days ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: Elasticsearch uses JavaScript, CSS, Typescript, Python, C, Objective-C, Java, C++ while Meilisearch leverages Rust.
Elasticsearch has been in development longer, starting 17 years ago, compared to Meilisearch which began 8 years ago. This 8.3-year head start suggests Elasticsearch may have more mature features and established processes.
Meilisearch is licensed under MIT, while Elasticsearch's license terms are not publicly specified.
Both tools serve similar use cases in Search Engines. However, they also have distinct specializations: Elasticsearch also focuses on Log Management, NoSQL & Document Databases.
Both Elasticsearch and Meilisearch offer self-hosting capabilities, giving you full control over your data and infrastructure.

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