MeiliSearch vs Searchkick

Overview

Searchkick

Stacks18

Followers34

Votes1

GitHub Stars6.7K

Forks766

MeiliSearch

Stacks125

Followers123

Votes10

GitHub Stars54.3K

Forks2.2K

MeiliSearch vs Searchkick: What are the differences?

Indexing: MeiliSearch has real-time indexing, meaning any changes to the data are immediately reflected in search results. In contrast, Searchkick requires periodic reindexing to update the searchable data, which can lead to delays in search results reflecting the latest changes.
Relevance: MeiliSearch employs a fast and accurate search algorithm based on the BM25 ranking function, ensuring precise and relevant search results. On the other hand, Searchkick relies on Elasticsearch's scoring mechanism, which may not always provide as accurate or relevant results as MeiliSearch.
Ease of Use: MeiliSearch is designed to be simple and easy to set up, making it a preferred choice for developers looking for a hassle-free integration. In comparison, Searchkick, while versatile, may require more configuration and customization to achieve the desired search functionality, especially in complex applications.
Community Support: MeiliSearch boasts a growing community of users and contributors, offering extensive documentation and support resources for developers. Searchkick, being more established, has a larger community base with a wealth of resources but may lack the same level of focused attention as MeiliSearch.
Programming Language Support: MeiliSearch provides official client libraries for various programming languages like Python, Node.js, and Ruby, enabling seamless integration in a wide range of applications. Searchkick, tailored for Ruby on Rails, may have limited official support for other programming languages, making it less versatile in a multi-language environment.
Scalability: MeiliSearch is highly scalable and suitable for both small-scale projects and large-scale enterprise applications, thanks to its distributed architecture and horizontal scaling capabilities. While Searchkick is also scalable, it may require more effort in fine-tuning and optimizing for performance in high-traffic scenarios as compared to MeiliSearch.

In Summary, MeiliSearch stands out for its real-time indexing, relevance, ease of use, and wide programming language support, while Searchkick offers integration with Ruby on Rails and has a larger community support base.

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CLI (Node.js)

Manual

Detailed Comparison

Searchkick	MeiliSearch
Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.	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.
stemming - tomatoes matches tomato;special characters - jalapeno matches jalapeño;extra whitespace - dishwasher matches dish washer;misspellings - zuchini matches zucchini;custom synonyms - qtip matches cotton swab;query like SQL - no need to learn a new query language;reindex without downtime;easily personalize results for each user;autocomplete;“Did you mean” suggestions;works with ActiveRecord and Mongoid	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 6.7K	GitHub Stars 54.3K
GitHub Forks 766	GitHub Forks 2.2K
Stacks 18	Stacks 125
Followers 34	Followers 123
Votes 1	Votes 10
Pros & Cons
Pros 1 Open Source	Pros 1 Great long tail search results 1 Fast responses to online chat 1 Facet search 1 Easy to deploy 1 Useful defaults

What are some alternatives to Searchkick, MeiliSearch?

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

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.

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.

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

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 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

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 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.

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Swiftype

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

Related Comparisons

MeiliSearch vs Searchkick: What are the differences?

Indexing: MeiliSearch has real-time indexing, meaning any changes to the data are immediately reflected in search results. In contrast, Searchkick requires periodic reindexing to update the searchable data, which can lead to delays in search results reflecting the latest changes.
Relevance: MeiliSearch employs a fast and accurate search algorithm based on the BM25 ranking function, ensuring precise and relevant search results. On the other hand, Searchkick relies on Elasticsearch's scoring mechanism, which may not always provide as accurate or relevant results as MeiliSearch.
Ease of Use: MeiliSearch is designed to be simple and easy to set up, making it a preferred choice for developers looking for a hassle-free integration. In comparison, Searchkick, while versatile, may require more configuration and customization to achieve the desired search functionality, especially in complex applications.
Community Support: MeiliSearch boasts a growing community of users and contributors, offering extensive documentation and support resources for developers. Searchkick, being more established, has a larger community base with a wealth of resources but may lack the same level of focused attention as MeiliSearch.
Programming Language Support: MeiliSearch provides official client libraries for various programming languages like Python, Node.js, and Ruby, enabling seamless integration in a wide range of applications. Searchkick, tailored for Ruby on Rails, may have limited official support for other programming languages, making it less versatile in a multi-language environment.
Scalability: MeiliSearch is highly scalable and suitable for both small-scale projects and large-scale enterprise applications, thanks to its distributed architecture and horizontal scaling capabilities. While Searchkick is also scalable, it may require more effort in fine-tuning and optimizing for performance in high-traffic scenarios as compared to MeiliSearch.

MeiliSearch vs Searchkick

Overview