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Amazon Kendra vs Solr 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
4th
Average Rating
7.6
Reviews Sentiment
7.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Solr
Ranking in Search as a Service
8th
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Search as a Service category, the mindshare of Amazon Kendra is 11.3%, down from 21.4% compared to the previous year. The mindshare of Solr is 6.1%, down from 6.2% 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.
reviewer823641 - PeerSpot reviewer
The Natural Language Search capability is helpful and intuitive for our users
The initial setup is complex because this is a distributed system, and you have to make sure that every individual node is aware of every other node in existence. This search engine has a large capacity, so you need to make sure that there is enough buffer space. We took one month to deploy and perform a fresh setup. Our strategy was to start with a local data center, before venturing into cross data center replicas. A staff size of two to four people is suitable for deploying and maintaining the solution, depending upon the scale. They would set up the solution and put monitoring in place for the indexing jobs, as well as design the schema so that the data can feed well.

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."
"One of the best aspects of the solution is the indexing. It's already indexed to all the fields in the category. We don't need to spend so much extra effort to do the indexing. It's great."
"​Sharding data, Faceting, Hit Highlighting, parent-child Block Join and Grouping, and multi-mode platform are all valuable features."
"It has improved our search ranking, relevancy, search performance, and user retention."
"The most valuable feature is the ability to perform a natural language search."
 

Cons

"The time it takes for indexing documents could be reduced."
"There are some token limits."
"Encountered issues with both master-slave and SolrCloud. Indexing and serving traffic from same collection has very poor performance. Some components are slow for searching."
"With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated."
"The performance for this solution, in terms of queries, could be improved."
"SolrCloud stability, indexing and commit speed, and real-time Indexing need improvement."
"It does take a little bit of effort to use and understand the solution. It would help us a lot if the solution offered up more documentation or tutorials to help with training or troubleshooting."
 

Pricing and Cost Advice

"The pricing falls in the medium range."
"The only costs in addition to the standard licensing fees are related to the hardware, depending on whether it is cloud-based, or on-premise."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
16%
Manufacturing Company
10%
Retailer
8%
Computer Software Company
15%
Retailer
9%
Manufacturing Company
9%
Financial Services Firm
9%
 

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 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...
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Comparisons

 

Overview

 

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
eHarmony, Sears, StubHub, Best Buy, Instagram, Netflix, Disney, AT&T, eBay, AOL, Bloomberg, Comcast, Ticketmaster, Travelocity, MTV Networks
Find out what your peers are saying about Amazon Kendra vs. Solr and other solutions. Updated: July 2025.
865,295 professionals have used our research since 2012.