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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

"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."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."
"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."
"The business analytics capabilities are the most important feature it provides."
"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."
"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 customer service is excellent, rated nine out of ten."
"The stability of the product is good."
 

Cons

"The time it takes for indexing documents could be reduced."
"There are some token limits."
"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."
"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."
"One improvement I would like to see is support for auto-scaling."
"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."
"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."
"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."
"The configuration should be more straightforward because we had to select a lot of things."
"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."
 

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."
"There is a community edition available and the price of the commercial offering is reasonable."
"Compared to other cloud platforms, it is manageable and not very expensive."
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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.