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 77,843 stars and Meilisearch having 58,953 stars on GitHub. In terms of developer contributions, Elasticsearch has 26,056 forks, indicating strong developer engagement.
Meilisearch is growing faster, adding 365 stars in the last 30 days (+0.6%) against adding 224 stars for Elasticsearch (+0.3%). Meilisearch 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 52 minutes ago and Meilisearch 22 hours 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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