StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Search
  4. Search As A Service
  5. MeiliSearch vs Typesense

MeiliSearch vs Typesense

OverviewComparisonAlternatives

Overview

Typesense
Typesense
Stacks70
Followers119
Votes39
GitHub Stars24.6K
Forks826
MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K

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.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Typesense
Typesense
MeiliSearch
MeiliSearch

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.

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.

Handles typographical errors elegantly; Simple to set-up and manage; Easy to tailor your search results to perfection; Meticulously designed and optimized for speed
Search as-you-type experience (answers < 50ms); Full-text search; Typo tolerant (understands typos and spelling mistakes); Supports Kanji; Supports Synonym; Easy to install, deploy, and maintain; Whole documents returned; Highly customizable; RESTfull API
Statistics
GitHub Stars
24.6K
GitHub Stars
54.3K
GitHub Forks
826
GitHub Forks
2.2K
Stacks
70
Stacks
125
Followers
119
Followers
123
Votes
39
Votes
10
Pros & Cons
Pros
  • 5
    Free
  • 4
    Easy to deploy
  • 4
    Facet search
  • 3
    Ultra fast
  • 3
    Out-of-the-box dev experience
Pros
  • 1
    Restfull
  • 1
    Saas option
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat
  • 1
    Facet search
Integrations
Mac OS X
Mac OS X
Ruby
Ruby
Linux
Linux
Python
Python
JavaScript
JavaScript
No integrations available

What are some alternatives to Typesense, MeiliSearch?

Elasticsearch

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).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

Swiftype

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

Quickwit

Quickwit

It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings.

Bonsai

Bonsai

Your customers expect fast, near-magical results from your search. Help them find what they’re looking for with Bonsai Elasticsearch. Our fully managed Elasticsearch solution makes it easy to create, manage, and test your app's search.

Azure Cognitive Search

Azure Cognitive Search

It is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade and AI services across vision, language and speech. Spend more time innovating and less time maintaining a complex cloud search solution.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope