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  1. Stackups
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  4. Search As A Service
  5. Azure Cognitive Search vs MeiliSearch

Azure Cognitive Search vs MeiliSearch

OverviewComparisonAlternatives

Overview

MeiliSearch
MeiliSearch
Stacks125
Followers123
Votes10
GitHub Stars54.3K
Forks2.2K
Azure Cognitive Search
Azure Cognitive Search
Stacks39
Followers67
Votes1

Azure Cognitive Search vs MeiliSearch: What are the differences?

Azure Cognitive Search and MeiliSearch are two popular search engines with distinct features and functionalities. Below are the key differences between them:

1. **Deployment**: Azure Cognitive Search is a managed cloud service provided by Microsoft, while MeiliSearch is a self-hosted search engine that can be deployed on-premises or in the cloud.

2. **Scalability**: Azure Cognitive Search is designed for enterprise-level scalability with built-in features for high availability and fault tolerance. In contrast, MeiliSearch is more suitable for smaller to medium-sized projects due to its simpler architecture that may not be as scalable for large volumes of data.

3. **Customization**: Azure Cognitive Search offers a wide range of customization options through REST APIs and SDKs, allowing users to tailor the search experience to their specific needs. MeiliSearch, on the other hand, provides a more opinionated approach with fewer customization options but focuses on simplicity and ease of use.

4. **Language Support**: Azure Cognitive Search provides support for over 50 languages out of the box, including advanced language processing capabilities like language detection and text translation. MeiliSearch also supports multiple languages but may require additional configurations for certain languages or features.

5. **Indexing and Querying**: Azure Cognitive Search supports a wide variety of data sources for indexing, including Azure services like Blob Storage and SQL databases, as well as rich querying capabilities with features like faceted search and autocomplete. MeiliSearch focuses on fast and relevant full-text search, offering simple indexing and querying capabilities without additional features like faceted search out of the box.

6. **Pricing**: Azure Cognitive Search has a tiered pricing model based on the number of documents and query units, while MeiliSearch is open-source with no initial costs for deployment, making it a more cost-effective option for smaller projects or organizations with budget constraints.

In Summary, Azure Cognitive Search and MeiliSearch differ in deployment options, scalability, customization, language support, indexing/querying capabilities, and pricing.

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Detailed Comparison

MeiliSearch
MeiliSearch
Azure Cognitive Search
Azure Cognitive Search

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.

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.

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
Start, maintain and scale with minimal investment;Create searchable content using integrated AI;Customise to meet goals and industry requirements
Statistics
GitHub Stars
54.3K
GitHub Stars
-
GitHub Forks
2.2K
GitHub Forks
-
Stacks
125
Stacks
39
Followers
123
Followers
67
Votes
10
Votes
1
Pros & Cons
Pros
  • 1
    Great long tail search results
  • 1
    Fast responses to online chat
  • 1
    Facet search
  • 1
    Easy to deploy
  • 1
    Useful defaults
Pros
  • 1
    111
Integrations
No integrations available
Postman
Postman
Java
Java
Node.js
Node.js
Python
Python
C#
C#
PowerShell
PowerShell

What are some alternatives to MeiliSearch, Azure Cognitive Search?

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.

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.

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