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Meilisearch vs TypeSense

Detailed comparison between Meilisearch and TypeSense: Search Capabilities: Both Meilisearch and TypeSense offer full-text search capabilities with support for natural language queries and typo tolerance. Meilisearch uses the BM25 algorithm for ranking search results, while TypeSense uses a custom algorithm based on cosine similarity. Scalability: Meilisearch is horizontally scalable, which means it can handle large volumes of data and traffic by adding more nodes to the cluster. TypeSense, on the other hand, is vertically scalable, which means it can handle increased traffic and data by upgrading the hardware. Query Speed: Meilisearch boasts a fast query speed of less than 50ms for a search query, while TypeSense claims to provide a response time of less than 50ms for an average search query. Ease of Use: Both Meilisearch and TypeSense are designed to be easy to use and come with a simple API and dashboard for managing and querying the search index. Customization: Meilisearch provides a wide range of customization options for search ranking, including synonyms, stop words, and custom ranking rules. TypeSense also offers customization options for search ranking, but with fewer options than Meilisearch. Integrations: Meilisearch offers a wide range of integrations with popular programming languages, frameworks, and databases, including Python, Ruby, Node.js, and PostgreSQL. TypeSense also provides integrations with popular programming languages and frameworks, but with fewer options than Meilisearch. Open Source License: Meilisearch and TypeSense are both open source projects, but Meilisearch is licensed under the liberal Apache 2.0 license, while TypeSense is licensed under the more restrictive AGPLv3 license. In summary, both Meilisearch and TypeSense are powerful search engines that offer fast and accurate full-text search capabilities. However, Meilisearch may be a better choice for organizations that require a wide range of customization options and integrations, while TypeSense may be a better choice for organizations that require a vertically scalable search engine.