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. Amazon Elasticsearch Service vs MeiliSearch

Amazon Elasticsearch Service vs MeiliSearch

OverviewComparisonAlternatives

Overview

Amazon Elasticsearch Service
Amazon Elasticsearch Service
Stacks371
Followers288
Votes24
MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K

Amazon Elasticsearch Service vs MeiliSearch: What are the differences?

# Introduction
This analysis compares the key differences between Amazon Elasticsearch Service and MeiliSearch.

1. **Deployment**: Amazon Elasticsearch Service is a managed service that simplifies deployment and maintenance, whereas MeiliSearch requires manual setup and configuration on the server.
2. **Scalability**: Amazon Elasticsearch Service offers seamless scaling capabilities based on the workload demand, including automated scaling options, whereas MeiliSearch may require manual intervention for scaling to accommodate increasing data and query loads.
3. **Search Capabilities**: Amazon Elasticsearch Service is built on Apache Lucene and provides a wide range of search features and functionalities, including advanced full-text search capabilities and support for various query languages, while MeiliSearch emphasizes simplicity and speed, offering a streamlined search experience with fewer advanced search features.
4. **Customization**: MeiliSearch focuses on simplicity and easy integration, with fewer customization options and a more opinionated approach to search functionality, while Amazon Elasticsearch Service provides a high level of customization and flexibility for advanced users to fine-tune search performance and behavior based on specific requirements.
5. **Pricing Model**: Amazon Elasticsearch Service follows a pay-as-you-go pricing model, where users are charged based on the resources consumed, while MeiliSearch is open-source with a community edition available for free, but may require additional infrastructure costs for hosting and maintenance.
6. **Community Support**: Amazon Elasticsearch Service benefits from being part of the Amazon Web Services ecosystem, with a robust community, extensive documentation, and professional support options, while MeiliSearch, being a newer player in the search engine space, may have a smaller community and limited professional support offerings.

In Summary, Amazon Elasticsearch Service and MeiliSearch differ in deployment ease, scalability options, search capabilities, customization flexibility, pricing models, and community support.

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

Amazon Elasticsearch Service
Amazon Elasticsearch Service
MeiliSearch
MeiliSearch

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.

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.

-
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
371
Stacks
125
Followers
288
Followers
123
Votes
24
Votes
10
Pros & Cons
Pros
  • 10
    Easy setup, monitoring and scaling
  • 7
    Kibana
  • 7
    Document-oriented
Pros
  • 1
    Easy to deploy
  • 1
    Useful defaults
  • 1
    Search as you type
  • 1
    Typo handling
  • 1
    Open source
Integrations
Elasticsearch
Elasticsearch
No integrations available

What are some alternatives to Amazon Elasticsearch Service, 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 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.

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