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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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Learn MorePros of Amazon CloudSearch
Pros of MeiliSearch
Pros of Amazon CloudSearch
- Managed12
- Auto-Scaling7
- Compound Queries5
- Easy Setup3
Pros of MeiliSearch
- Saas option1
- Restfull1
- Open source1
- Typo handling1
- Search as you type1
- Useful defaults1
- Easy to deploy1
- Facet search1
- Great long tail search results1
- Fast responses to online chat1
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What is 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.
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.
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What companies use Amazon CloudSearch?
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What companies use Amazon CloudSearch?
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What tools integrate with Amazon CloudSearch?
What tools integrate with MeiliSearch?
What tools integrate with Amazon CloudSearch?
What tools integrate with MeiliSearch?
What are some alternatives to Amazon CloudSearch and MeiliSearch?
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.
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).
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
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.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.