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Amazon Elasticsearch Service vs Amazon Kendra comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon Elasticsearch Service
Ranking in Search as a Service
3rd
Average Rating
8.2
Number of Reviews
6
Ranking in other categories
No ranking in other categories
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
 

Mindshare comparison

As of November 2024, in the Search as a Service category, the mindshare of Amazon Elasticsearch Service is 13.2%, down from 19.8% compared to the previous year. The mindshare of Amazon Kendra is 20.2%, down from 21.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service
 

Featured Reviews

Beverly R. Jamison - PeerSpot reviewer
Easy to use, efficient, and straightforward installation
Amazon Elasticsearch is a search engine. We set up the index from where the content was and moved the content in to get it indexed. We provided the end user with a fairly full-featured search, and they were included in being able to write their own bullion The most valuable features of Amazon…
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.

Quotes from Members

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

Pros

"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 most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."
"They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market."
"The stability of the product is good."
"It's a good log management platform. In terms of infrastructure management, it's good."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."
"The initial set up is very easy...We really appreciate Amazon!"
"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

"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."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"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."
"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."
"There are some token limits."
"The time it takes for indexing documents could be reduced."
 

Pricing and Cost Advice

"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."
"The pricing falls in the medium range."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
14%
Manufacturing Company
11%
Government
8%
Financial Services Firm
18%
Computer Software Company
18%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Amazon Elasticsearch Service?
It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs.
What is your experience regarding pricing and costs for Amazon Elasticsearch Service?
The solution is not expensive, but priced averagely, I will say. Regarding the pricing part based on the use cases, we used to sometimes see or do some of the costing parts also in that case. Depar...
What needs improvement with Amazon Elasticsearch Service?
One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become...
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...
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about Amazon Elasticsearch Service vs. Amazon Kendra and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.