Amazon AWS CloudSearch Overview

Amazon AWS CloudSearch is the #3 ranked solution in our list of top Search as a Service vendors. It is most often compared to Amazon Kendra: Amazon AWS CloudSearch vs Amazon Kendra

What is Amazon AWS CloudSearch?

Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.

You can easily change your search parameters, fine tune search relevance, and apply new settings at any time. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs.

Buyer's Guide

Download the Search as a Service Buyer's Guide including reviews and more. Updated: June 2021

Amazon AWS CloudSearch Customers


Amazon AWS CloudSearch Video

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Software Engineer
Real User
CDN service reduces latency when accessing our web application

What is our primary use case?

It was an e-commerce website, which I think that it is self-explanatory how much you need to use photos how much you care about how long is to load a photo.

Pros and Cons

  • "CDN service reduces latency when accessing our web application."
  • "Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime."

What other advice do I have?

Think about making good use of the tool, meaning: Look at your project or requirements and restructure thinking of the use of CloudSearch.
Senior Technical Lead at a tech services company with 11-50 employees
Real User
Text-based search API and geospatial searches are valuable but index cleanup can be painful

Pros and Cons

  • "Document indexing, text-based search API, and Geospatial searches are all good features."
  • "Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations."
  • "Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it."
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