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  4. Search As A Service
  5. Amazon CloudSearch vs MeiliSearch

Amazon CloudSearch vs MeiliSearch

OverviewComparisonAlternatives

Overview

Amazon CloudSearch
Amazon CloudSearch
Stacks130
Followers152
Votes27
MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K

Amazon CloudSearch vs MeiliSearch: What are the differences?

# Key Differences between Amazon CloudSearch and MeiliSearch

Amazon CloudSearch is a fully managed search service while MeiliSearch is a self-hosted open-source search engine.
Amazon CloudSearch is designed to be scalable, allowing it to handle large amounts of data and search queries with ease, whereas MeiliSearch may require more manual optimization for scalability.
Amazon CloudSearch offers a set of APIs for indexing, searching, and configuring search domains, making it more suitable for businesses with complex search requirements, while MeiliSearch provides a simple RESTful API, making it more straightforward to integrate and use for simpler search needs.
Amazon CloudSearch is integrated with other AWS services, allowing for seamless data integration and analysis, whereas MeiliSearch may require additional tools or services for the same level of integration.
While Amazon CloudSearch offers a range of features like multi-language support, geo search, and fine-grained access control, MeiliSearch may have more limited functionality out of the box, requiring customization for advanced features.
Amazon CloudSearch is a paid service, with pricing based on usage and resources consumed, while MeiliSearch is free to use and can be deployed on the user's own infrastructure, potentially resulting in cost savings for organizations. 

In Summary, Amazon CloudSearch and MeiliSearch differ in terms of management, scalability, functionality, integration, features, and pricing. 

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Detailed Comparison

Amazon CloudSearch
Amazon CloudSearch
MeiliSearch
MeiliSearch

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.

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.

Simple to Configure – You can make your data searchable using the AWS Management Console, API calls, or command line tools. Simply point to a sample set of data, and Amazon CloudSearch automatically proposes a list of index fields and a suggested configuration.;Automatic Scaling For Data & Traffic – Amazon CloudSearch scales up and down seamlessly as the amount of data or query volume changes.;Low Latency, High Throughput – Amazon CloudSearch always stores your index in RAM to ensure low latency and high throughput performance even at large scale. Amazon CloudSearch was created from the same A9 technology that powers search on Amazon.com.;Rich Search Features – Amazon CloudSearch indexes and searches both structured data and plain text. It includes most search features that developers have come to expect from a search engine, such as faceted search, free text search, Boolean search, customizable relevance ranking, query time rank expressions, field weighting, and sorting of results using any field. Amazon CloudSearch also provides near real-time indexing of document updates.;Secure – Amazon CloudSearch uses strong cryptographic methods to authenticate users and prevent unauthorized control of your domains. Amazon CloudSearch supports HTTPS and includes web service interfaces to configure firewall settings that control network access to your domain.
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
-
GitHub Stars
54.3K
GitHub Forks
-
GitHub Forks
2.2K
Stacks
130
Stacks
125
Followers
152
Followers
123
Votes
27
Votes
10
Pros & Cons
Pros
  • 12
    Managed
  • 7
    Auto-Scaling
  • 5
    Compound Queries
  • 3
    Easy Setup
Pros
  • 1
    Easy to deploy
  • 1
    Useful defaults
  • 1
    Search as you type
  • 1
    Typo handling
  • 1
    Open source

What are some alternatives to Amazon CloudSearch, 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.

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.

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