Amazon Elasticsearch Service vs MeiliSearch

Need advice about which tool to choose?Ask the StackShare community!

Amazon Elasticsearch Service

377
286
+ 1
24
MeiliSearch

105
117
+ 1
2
Add tool

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.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Amazon Elasticsearch Service
Pros of MeiliSearch
  • 10
    Easy setup, monitoring and scaling
  • 7
    Kibana
  • 7
    Document-oriented
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat

Sign up to add or upvote prosMake informed product decisions

- No public GitHub repository available -

What is 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.

What is MeiliSearch?

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.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Amazon Elasticsearch Service and MeiliSearch as a desired skillset
What companies use Amazon Elasticsearch Service?
What companies use MeiliSearch?
See which teams inside your own company are using Amazon Elasticsearch Service or MeiliSearch.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon Elasticsearch Service?
What tools integrate with MeiliSearch?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

GitHubPythonReact+42
49
40724
GitHubGitSlack+30
27
18322
What are some alternatives to Amazon Elasticsearch Service and 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).
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.
Elastic Cloud
A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
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.
See all alternatives