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Amazon Kendra vs Amazon OpenSearch Service comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 11, 2025

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 Kendra
Ranking in Search as a Service
4th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Amazon OpenSearch Service
Ranking in Search as a Service
3rd
Average Rating
7.6
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
Application Performance Monitoring (APM) and Observability (24th), Log Management (20th)
 

Mindshare comparison

As of October 2025, in the Search as a Service category, the mindshare of Amazon Kendra is 9.0%, down from 20.6% compared to the previous year. The mindshare of Amazon OpenSearch Service is 4.5%, down from 14.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service Market Share Distribution
ProductMarket Share (%)
Amazon OpenSearch Service4.5%
Amazon Kendra9.0%
Other86.5%
Search as a Service
 

Featured Reviews

AM
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.
Johnny Suleiman - PeerSpot reviewer
Scalability is a key feature as it allows easy scaling of the platform without downtime
OpenSearch is used as a search engine for specific logs, mainly in e-commerce and monitoring the logs themselves. It is very valuable for e-commerce, enabling data analysis on application logs and customer behavior, and can be integrated with other services, including AI and machine learning…

Quotes from Members

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

Pros

"We have good use cases where stability is everything. So it's a stable solution."
"Provides flexibility to tune the relevance and ranking of results."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"
"It's a good log management platform. In terms of infrastructure management, it's good."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"The business analytics capabilities are the most important feature it provides."
"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"The stability of the product is good."
 

Cons

"There are some token limits."
"The time it takes for indexing documents could be reduced."
"There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."
"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."
"They can enhance data visualization."
"The configuration should be more straightforward because we had to select a lot of things."
"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
 

Pricing and Cost Advice

"The pricing falls in the medium range."
"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"Compared to other cloud platforms, it is manageable and not very expensive."
"There is a community edition available and the price of the commercial offering is reasonable."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
17%
Manufacturing Company
10%
Retailer
9%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Amazon OpenSearch Service?
We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage
What is your experience regarding pricing and costs for Amazon OpenSearch Service?
I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...
What needs improvement with Amazon OpenSearch Service?
In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...
 

Also Known As

No data available
Amazon Elasticsearch Service
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Find out what your peers are saying about Amazon Kendra vs. Amazon OpenSearch Service and other solutions. Updated: September 2025.
868,787 professionals have used our research since 2012.