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  4. Search As A Service
  5. Amazon Elasticsearch Service vs Typesense

Amazon Elasticsearch Service vs Typesense

OverviewComparisonAlternatives

Overview

Amazon Elasticsearch Service
Amazon Elasticsearch Service
Stacks371
Followers288
Votes24
Typesense
Typesense
Stacks70
Followers119
Votes39
GitHub Stars24.6K
Forks826

Amazon Elasticsearch Service vs Typesense: What are the differences?

Amazon Elasticsearch Service: Real-time, distributed search and analytics engine that fits nicely into a cloud environment. 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; Typesense: Open-Source Alternative to Algolia. 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 and Typesense belong to "Search as a Service" category of the tech stack.

Typesense is an open source tool with 2.11K GitHub stars and 43 GitHub forks. Here's a link to Typesense's open source repository on GitHub.

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Detailed Comparison

Amazon Elasticsearch Service
Amazon Elasticsearch Service
Typesense
Typesense

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 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.

-
Handles typographical errors elegantly; Simple to set-up and manage; Easy to tailor your search results to perfection; Meticulously designed and optimized for speed
Statistics
GitHub Stars
-
GitHub Stars
24.6K
GitHub Forks
-
GitHub Forks
826
Stacks
371
Stacks
70
Followers
288
Followers
119
Votes
24
Votes
39
Pros & Cons
Pros
  • 10
    Easy setup, monitoring and scaling
  • 7
    Document-oriented
  • 7
    Kibana
Pros
  • 5
    Free
  • 4
    Easy to deploy
  • 4
    Facet search
  • 3
    Ultra fast
  • 3
    Open source
Integrations
Elasticsearch
Elasticsearch
Mac OS X
Mac OS X
Ruby
Ruby
Linux
Linux
Python
Python
JavaScript
JavaScript

What are some alternatives to Amazon Elasticsearch Service, Typesense?

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.

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.

MeiliSearch

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.

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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