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Amazon AWS CloudSearch vs Amazon Kendra comparison

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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
7th
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 September 2026, in the Search as a Service category, the mindshare of Amazon AWS CloudSearch is 5.8%, down from 7.2% compared to the previous year. The mindshare of Amazon Kendra is 6.2%, down from 9.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Mindshare Distribution
ProductMindshare (%)
Amazon AWS CloudSearch5.8%
Amazon Kendra6.2%
Other88.0%
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

"Amazon AWS CloudSearch is practical and dependable for teams that want managed search without a lot of infrastructure management."
"The best feature is its scalability in that Cloud is always on the fly."
"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."
"Document indexing, text-based search API, and Geospatial searches are all good features."
"I've found the solution to be very scalable."
"We were able to build the core search functionality using this product."
"The most valuable feature of Amazon AWS CloudSearch is the cloud aspect. I do not need to have the physical infrastructure, everything is in the cloud."
"The quality of the solution is good."
"We have good use cases where stability is everything. So it's a stable solution."
"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."
 

Cons

"Security is a concern but they're working on it."
"I do not have any suggestions for improvements at this time."
"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."
"In terms of what needs improvement, I would say that it needs to keep its cost competitive in the market, especially in comparison to other clouds."
"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."
"A reboot should be enhanced."
"The biggest improvement area is that Amazon AWS CloudSearch feels a little older compared to newer AWS services."
"The price of the solution can be expensive."
"This is a really, really expensive solution making the adoption of it very difficult at the enterprise level."
"The time it takes for indexing documents could be reduced."
"There are some token limits."
 

Pricing and Cost Advice

"In comparison to IBM and Microsoft, the pricing is more favorable."
"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."
"There was no license needed to use this solution."
"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."
"We chose AWS because of its cost and stability."
"Our license costs around $4,000 per month."
"The pricing falls in the medium range."
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Top Industries

By visitors reading reviews
Comms Service Provider
12%
Construction Company
11%
Outsourcing Company
10%
Educational Organization
9%
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
13%
Comms Service Provider
7%
 

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...
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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: September 2026.
913,683 professionals have used our research since 2012.