No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon AWS CloudSearch vs Amazon Kendra comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon AWS CloudSearch
Ranking in Search as a Service
6th
Average Rating
8.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Amazon Kendra
Ranking in Search as a Service
8th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Search as a Service category, the mindshare of Amazon AWS CloudSearch is 5.5%, down from 8.5% compared to the previous year. The mindshare of Amazon Kendra is 5.8%, down from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Mindshare Distribution
ProductMindshare (%)
Amazon AWS CloudSearch5.5%
Amazon Kendra5.8%
Other88.7%
Search as a Service
 

Featured Reviews

HM
Software Developer at ECFY Consulting Private Limited
Search workflows have become faster and our team manages operational records more efficiently
Improvements for Amazon AWS CloudSearch can be made, but I will first start with the biggest improvement. The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared to newer AWS services. The second thing about improvement is the documentation. The documentation could definitely be refreshed with more practical examples and troubleshooting scenarios. During setup, a few indexing issues took longer to diagnose because error messages were pretty generic. Better debugging visibility would reduce trial-and-error work. Monitoring is decent through Amazon CloudWatch, but I would like more detailed search-level diagnostics out of the box. Sometimes it is not obvious why certain queries rank results differently unless you manually test a lot. More transparent query analysis, indexing, and insights would be useful. Logging exists, but deeper visibility would help during optimization.
AM
Architect at IGT Solutions
Kendra has a nice AI built-in, enhancing the search experience and highly stable solution
There are many valuable features. For example, there are many documents that contain a lot of legal information. So we want to understand whether all the documents have the required complaint-related information or not, and whether they are following the standard policies of documentation. We have multiple documents, so we don't know which document has the sought-after information. Therefore, we want to perform an enterprise search on it. So there are a lot of use cases we are trying to build using these newer technologies, specifically Kendra. Moreover, Kendra has AI, which has an upper edge, and that is really helpful. It has a nice AI inbuilt, which improves the search part of it.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Document indexing, text-based search API, and Geospatial searches are all good features."
"I've found the solution to be very scalable."
"Storage of photos and files which can be accessed anyplace, anytime, extremely quickly."
"We were able to build the core search functionality using this product."
"The quality of the solution is good."
"It is remarkably efficient and beneficial."
"There are plenty of services from the database, with many valuable features, good scalability and agility, okay pricing, good solution quality, strong optimization, and customization that can work with any other cloud platforms."
"The most valuable feature of Amazon AWS CloudSearch is its ability to receive data quickly, and you can access your data easily in a short time."
"Until recently, there wasn't an out-of-the-box service in the market for enterprise documents like Kendra."
"Provides flexibility to tune the relevance and ranking of results."
"We have good use cases where stability is everything. So it's a stable solution."
 

Cons

"Security is a concern but they're working on it."
"The price of the solution can be expensive."
"We'd like to see more database 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."
"The solution should improve the recovery aspects that it has on offer."
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory."
"I do not have any suggestions for improvements at this time."
"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, which is quite boring because we may be setting up a marketing campaign which is related to the product's photo and we need to wait to start."
"There are some token limits."
"The time it takes for indexing documents could be reduced."
"This is a really, really expensive solution making the adoption of it very difficult at the enterprise level."
 

Pricing and Cost Advice

"Our license costs around $4,000 per month."
"There was no license needed to use this solution."
"On a scale of one to ten, where one point is cheap, and ten points are expensive, I rate the pricing as medium or reasonable."
"We chose AWS because of its cost and stability."
"In comparison to IBM and Microsoft, the pricing is more favorable."
"Amazon AWS CloudSearch charging is based on how many resources you consume or and the solution is known to be a bit expensive."
"I'm not sure how much we pay a year. It might be around $30,000 a year."
"The pricing falls in the medium range."
report
Use our free recommendation engine to learn which Search as a Service solutions are best for your needs.
903,118 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Comms Service Provider
10%
Educational Organization
9%
Construction Company
9%
Financial Services Firm
8%
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
12%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise6
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon AWS CloudSearch?
We purchased Amazon AWS CloudSearch through the AWS Marketplace. Pricing was understandable once we estimated indexing volume and query traffic. Though it can grow if you scale instances aggressive...
What needs improvement with Amazon AWS CloudSearch?
Improvements for Amazon AWS CloudSearch can be made, but I will first start with the biggest improvement. The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared t...
What is your primary use case for Amazon AWS CloudSearch?
The main use case for us was to search the operational records from our company databases and perform full-text search across operational records and uploaded documents. We needed something where u...
Ask a question
Earn 20 points
 

Overview

 

Sample Customers

SmugMug
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about Amazon AWS CloudSearch vs. Amazon Kendra and other solutions. Updated: June 2026.
903,118 professionals have used our research since 2012.