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MeiliSearch

116
120
+ 1
10
Typesense

58
117
+ 1
39
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MeiliSearch vs Typesense: What are the differences?

Introduction

MeiliSearch and Typesense are both search engines that can be used to enable powerful search functionality on websites. While they share similarities, there are several key differences that set them apart.

  1. Scalability and Performance: MeiliSearch is designed to be highly scalable and can handle large datasets efficiently. It can index millions of documents and provide fast search results. On the other hand, Typesense focuses on providing real-time search and retrieval capabilities, ensuring instantaneous search results even with large volumes of data.

  2. Search Features: MeiliSearch offers a wide range of search features out-of-the-box, including full-text search, filtering, faceting, and sorting. It also supports advanced search options such as typo-tolerance and synonyms. In comparison, Typesense provides similar search functionalities, but with more emphasis on efficient filtering and faceted search capabilities.

  3. Schema and Data Types: MeiliSearch supports a schema-less approach, meaning it can easily adapt to any kind of structured or unstructured data without needing a predefined schema. It can handle diverse data types such as text, numbers, dates, and booleans. Conversely, Typesense requires a defined schema for indexing documents and only supports a limited set of data types.

  4. Multilanguage Support: MeiliSearch is built with strong multilanguage support and offers language-specific tokenizers and stemming. This allows for better performance in various languages. While Typesense also supports multilanguage search, it doesn't provide the same level of language-specific functionalities as MeiliSearch.

  5. Community and Integrations: MeiliSearch has a vibrant open-source community and offers various integrations with popular frameworks and programming languages such as Python, JavaScript, and Ruby. Typesense also has an active community but currently provides limited official integrations compared to MeiliSearch.

  6. Customization and Extensibility: MeiliSearch provides a highly customizable search experience, allowing developers to modify its behavior through ranking rules and custom search parameters. Typesense, on the other hand, focuses on simplicity and ease of integration, providing fewer customization options.

In summary, MeiliSearch offers scalability, advanced search features, schema flexibility, multilanguage support, a vibrant community, and extensive customization options. On the other hand, Typesense prioritizes real-time search, efficient filtering, a simpler integration experience, and quick setup.

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Pros of MeiliSearch
Pros of Typesense
  • 1
    Saas option
  • 1
    Restfull
  • 1
    Open source
  • 1
    Typo handling
  • 1
    Search as you type
  • 1
    Useful defaults
  • 1
    Easy to deploy
  • 1
    Facet search
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat
  • 5
    Free
  • 4
    Facet search
  • 4
    Easy to deploy
  • 3
    Out-of-the-box dev experience
  • 3
    Ultra fast
  • 3
    Search as you type
  • 3
    Typo handling
  • 3
    Open source
  • 2
    Near real-time search
  • 2
    Super easy to implement
  • 2
    InstantSearch integration
  • 2
    Modern search engine
  • 1
    Restful
  • 1
    Great documentation
  • 1
    SaaS option

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What is MeiliSearch?

It is a powerful, fast, open-source, easy to use, and deploy search engine. The search and indexation are fully customizable and handles features like typo-tolerance, filters, and synonyms.

What is Typesense?

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

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What are some alternatives to MeiliSearch and Typesense?
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Stack Overflow
Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming.
Google Maps
Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.
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