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  1. Stackups
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  4. Search As A Service
  5. Amazon OpenSearch Service vs Searchify

Amazon OpenSearch Service vs Searchify

OverviewComparisonAlternatives

Overview

Searchify
Searchify
Stacks2
Followers15
Votes1
Amazon OpenSearch Service
Amazon OpenSearch Service
Stacks14
Followers6
Votes0

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Detailed Comparison

Searchify
Searchify
Amazon OpenSearch Service
Amazon OpenSearch Service

Easily add custom full-text search, without the cost or complexity of managing search servers

It makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch.

Powerful hosted search, with a simple API;True real-time updates are immediately searchable;Location-aware geo search - sort & filter by distance;Faceted search for easy end-user navigation;Custom scoring & sorting functions;Snippets & highlighting for professional-looking results;Scalable from small projects to millions of documents;Easier than Solr/Lucene and Sphinx;Client libraries in Ruby, Python, Java, PHP, & more;Searchify is a drop-in replacement for IndexTank
Managed OpenSearch; Secure; Observability; Cost-conscious
Statistics
Stacks
2
Stacks
14
Followers
15
Followers
6
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Works
No community feedback yet
Integrations
cloudControl
cloudControl
Heroku
Heroku
AppFog
AppFog
Auth0
Auth0
Keycloak
Keycloak
Okta
Okta

What are some alternatives to Searchify, Amazon OpenSearch Service?

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.

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.

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