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Amazon Kendra vs Elastic Search 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 Kendra
Ranking in Search as a Service
2nd
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Elastic Search
Ranking in Search as a Service
1st
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
67
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Vector Databases (2nd)
 

Mindshare comparison

As of April 2025, in the Search as a Service category, the mindshare of Amazon Kendra is 16.6%, down from 22.0% compared to the previous year. The mindshare of Elastic Search is 14.4%, up from 8.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.

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."
"The product is scalable with good performance."
"The AI-based attribute tagging is a valuable feature."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"The solution offers good stability."
"Search is really powerful."
"X-Pack provides good features, like authorization and alerts."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"The special text processing features in this solution are very important for me."
 

Cons

"The time it takes for indexing documents could be reduced."
"There are some token limits."
"Ratio aggregation is not supported in this solution."
"Could have more open source tools and testing."
"The solution must provide AI integrations."
"There are some features lacking in ELK Elasticsearch."
"I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly."
"The real-time search functionality is not operational due to its impact on system resources."
"The different applications need to be individually deployed."
"They should improve its documentation. Their official documentation is not very informative. They can also improve their technical support. They don't help you much with the customized stuff. They also need to add more visuals. Currently, they have line charts, bar charts, and things like that, and they can add more types of visuals. They should also improve the alerts. They are not very simple to use and are a bit complex. They could add more options to the alerting system."
 

Pricing and Cost Advice

"The pricing falls in the medium range."
"ELK has been considered as an alternative to Splunk to reduce licensing costs."
"The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive."
"To access all the features available you require both the open source license and the production license."
"The price could be better."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"Elastic Search is open-source, but you need to pay for support, which is expensive."
"The tool is not expensive. Its licensing costs are yearly."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
17%
Manufacturing Company
10%
Retailer
6%
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Amazon Kendra?
We have good use cases where stability is everything. So it's a stable solution.
What is your experience regarding pricing and costs for Amazon Kendra?
The pricing falls in the medium range. The cost depends on the size of your use case because it has a fixed cost, not a variable. The licensing is on a monthly basis. There are no extra costs. Only...
What needs improvement with Amazon Kendra?
There are some token limits. We cannot ask questions with more than 30 tokens. Access cannot be more than 200 tokens. And the token is also, like, one point. Then views are very hard limits, and it...
What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
I don't know about pricing. That is dealt with by the sales team and our account team. I was not involved with that.
What needs improvement with ELK Elasticsearch?
I found an issue with Elasticsearch in terms of aggregation. They are good, yet the rules written for this are not really good. There is a maximum of 10,000 entries, so the limitation means that if...
 

Comparisons

 

Also Known As

No data available
Elastic Enterprise Search, Swiftype, Elastic Cloud
 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Find out what your peers are saying about Amazon Kendra vs. Elastic Search and other solutions. Updated: April 2025.
848,207 professionals have used our research since 2012.