What is the main difference between Elasticsearch and Meilisearch?

Elasticsearch and Meilisearch are both search engines but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Elasticsearch or Meilisearch?

The choice between Elasticsearch and Meilisearch depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Elasticsearch to Meilisearch?

Migration between Elasticsearch and Meilisearch is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Elasticsearch vs Meilisearch

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.

Elasticsearch

Elasticsearch is an open-source, RESTful search engine designed for scalability, reliability, and easy management.

Visit Elasticsearch Read more

Stars
77,142
Forks
25,888
Last commit
6 hours ago
Repository age
16 years

Activity score

99/100

View Repository

Meilisearch

A powerful, fast, and easy-to-use search engine that delivers instant and relevant results for your websites and applications.

Visit Meilisearch Read more

Stars
58,358
Forks
2,600
Last commit
13 hours ago
Repository age
8 years
License
MIT
Self-hosted
Yes

Activity score

97/100

View Repository

Detailed Comparison

Both Elasticsearch and Meilisearch have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Comparable

Community & Popularity

Both tools have similar popularity levels, with Elasticsearch having 77,142 stars and Meilisearch having 58,358 stars on GitHub. In terms of developer contributions, Elasticsearch has 25,888 forks, indicating strong developer engagement.

Comparable

Development Activity

Both projects show recent activity, with Elasticsearch last updated 6 hours ago and Meilisearch 13 hours ago.

Comparable

Technology Stack

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 wins

Project Maturity

Elasticsearch has been in development longer, starting 16 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 wins

Licensing

Meilisearch is licensed under MIT, while Elasticsearch's license terms are not publicly specified.

Comparable

Use Cases & Features

Both tools serve similar use cases in Search Engines. However, they also have distinct specializations: Elasticsearch also focuses on Log Management, NoSQL & Document Databases.

Meilisearch wins

Hosting & Deployment

Meilisearch provides self-hosting options for complete data control and customization, while Elasticsearch may be primarily cloud-based or require different deployment approaches.