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  1. Stackups
  2. Utilities
  3. Search
  4. Search Engines
  5. Carrot2 vs MeiliSearch

Carrot2 vs MeiliSearch

OverviewComparisonAlternatives

Overview

Carrot2
Carrot2
Stacks7
Followers13
Votes0
GitHub Stars834
Forks218
MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K

Carrot2 vs MeiliSearch: What are the differences?

Developers describe Carrot2 as "An Open Source Search Results Clustering Engine". It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for. On the other hand, MeiliSearch is detailed as "*Ultra relevant, instant and typo-tolerant full-text search API *". 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.

Carrot2 and MeiliSearch can be categorized as "Search Engines" tools.

Some of the features offered by Carrot2 are:

  • Visualization
  • Clustering
  • Integration

On the other hand, MeiliSearch provides the following key features:

  • Search as-you-type experience (answers < 50ms)
  • Full-text search
  • Typo tolerant (understands typos and spelling mistakes)

Carrot2 and MeiliSearch are both open source tools. MeiliSearch with 731 GitHub stars and 24 forks on GitHub appears to be more popular than Carrot2 with 393 GitHub stars and 157 GitHub forks.

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Detailed Comparison

Carrot2
Carrot2
MeiliSearch
MeiliSearch

It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.

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.

Visualization; Clustering; Integration
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
834
GitHub Stars
54.3K
GitHub Forks
218
GitHub Forks
2.2K
Stacks
7
Stacks
125
Followers
13
Followers
123
Votes
0
Votes
10
Pros & Cons
No community feedback yet
Pros
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat
  • 1
    Facet search
  • 1
    Easy to deploy
  • 1
    Useful defaults
Integrations
C#
C#
PHP
PHP
.NET
.NET
Ruby
Ruby
Bing Maps API
Bing Maps API
No integrations available

What are some alternatives to Carrot2, 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.

Typesense

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

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

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.

MkDocs

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

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

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