Amazon CloudSearch
Amazon CloudSearch

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Searchify
Searchify

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Amazon CloudSearch vs Searchify: What are the differences?

Developers describe Amazon CloudSearch as "Set up, manage, and scale a search solution for your website or application". 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. On the other hand, Searchify is detailed as "Full-text Search-as-a-Service". Easily add custom full-text search, without the cost or complexity of managing search servers.

Amazon CloudSearch and Searchify can be categorized as "Search as a Service" tools.

Some of the features offered by Amazon CloudSearch are:

  • Simple to Configure – You can make your data searchable using the AWS Management Console, API calls, or command line tools. Simply point to a sample set of data, and Amazon CloudSearch automatically proposes a list of index fields and a suggested configuration.
  • Automatic Scaling For Data &amp
  • Traffic – Amazon CloudSearch scales up and down seamlessly as the amount of data or query volume changes.

On the other hand, Searchify provides the following key features:

  • Powerful hosted search, with a simple API
  • True real-time updates are immediately searchable
  • Location-aware geo search - sort & filter by distance
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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 Searchify?

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

Want advice about which of these to choose?Ask the StackShare community!

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      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.
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