Amazon Kendra vs Elastic Search comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon Kendra
Ranking in Search as a Service
2nd
Average Rating
7.6
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
Number of Reviews
59
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (10th), Vector Databases (1st)
 

Mindshare comparison

As of July 2024, in the Search as a Service category, the mindshare of Amazon Kendra is 20.0%, down from 23.6% compared to the previous year. The mindshare of Elastic Search is 12.1%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Search as a Service
Unique Categories:
No other categories found
Indexing and Search
31.8%
Cloud Data Integration
1.9%
 

Featured Reviews

AM
Jul 26, 2023
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.
Markos Sellis - PeerSpot reviewer
Feb 16, 2023
Great disaster recovery with good AI capabilities but needs more predictive analytics
We use the solution for log gathering, analyzing, and dashboard creation (with Kibana). For example, several clients require the ability to store and search logs freely without the constrictions that would be in place if a traditional database was used.  Elasticsearch is perfect for these use cases…

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."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"The most valuable features are the ease and speed of the setup."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"It is easy to scale with the cluster node model.​"
"The solution has good security features. I have been happy with the dashboards and interface."
"The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs."
"The most valuable features are the detection and correlation features."
"The solution has great scalability."
 

Cons

"The time it takes for indexing documents could be reduced."
"There are some token limits."
"Technical support should be faster."
"Could have more open source tools and testing."
"There are challenges with performance management and scalability."
"Elastic Enterprise Search's tech support is good but it could be improved."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"Ratio aggregation is not supported in this solution."
"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."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
 

Pricing and Cost Advice

"The pricing falls in the medium range."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
"The cost varies based on factors like usage volume, network load, data storage size, and service utilization. If your usage isn't too extensive, the cost will be lower."
"The price of Elastic Enterprise is very, very competitive."
"To access all the features available you require both the open source license and the production license."
"This product is open-source and can be used free of charge."
"we are using a licensed version of the product."
"The premium license is expensive."
"It can move from $10,000 US Dollars per year to any price based on how powerful you need the searches to be and the capacity in terms of storage and process."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
16%
Manufacturing Company
9%
Government
7%
Computer Software Company
18%
Financial Services Firm
15%
Manufacturing Company
8%
Government
7%
 

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 needs improvement with ELK Elasticsearch?
I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes ...
 

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: May 2024.
792,098 professionals have used our research since 2012.