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  3. Amazon Kendra
Logo of Amazon Kendra

Amazon Kendra

byAmazon Web Services (AWS)
in Enterprise AI Search
4.2

Overview

Product Information on Amazon Kendra

Updated 13th October 2025

What is Amazon Kendra?

Amazon Kendra is an enterprise search software that utilizes machine learning to enable organizations to search internal content across various data sources. The software is designed to index data stored in repositories such as file systems, databases, SharePoint, and web pages, allowing users to retrieve relevant information using natural language queries. Amazon Kendra incorporates semantic search capabilities to interpret the context of queries and return precise results. The software integrates with existing workflows through connectors and APIs, supporting deployment in different environments. It addresses the business problem of information retrieval and knowledge discovery within large and distributed datasets, streamlining access to organizational content and facilitating more efficient decision-making.

Amazon Kendra Pricing

Amazon Kendra is a software that offers a pay-as-you-go pricing model based on the number of query units and data storage used. The software charges for active index hours and data transfer, with tiered pricing levels available for different usage volumes. Pricing can vary depending on the deployment region and integration options, and additional costs may apply for advanced features or support plans.

Overall experience with Amazon Kendra

Software Developer
<50M USD, Software
FAVORABLE

“Outstanding Natural Language Search with Effortless Enterprise Connectivity”

5.0
Jun 10, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Product Manager
<50M USD, IT Services
CRITICAL

“Efficient connectors and permissions handling offset by complex pricing”

3.0
Jun 23, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 6th March 2025

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Updated 23rd December 2024
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
http://aws.amazon.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Amazon Kendra Reviews and Ratings

4.2

(21 Ratings)

Rating Distribution

5 Star
33%
4 Star
57%
3 Star
10%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Product Manager
    <50M USD
    IT Services
    Review Source

    Efficient connectors and permissions handling offset by complex pricing

    3.0
    Jun 23, 2026
    White technically is a enterprise service designed to handle millions of documents with additional storage units it has a lot of limits, configuration quirks and budget gotchas. The indexing and search is top quality semantic search with generative AI but a lot of work has to be done for managing the content in the storage units, indexes and proactive cost management.
  • Product Manager
    <50M USD
    IT Services
    Review Source

    Efficient connectors and permissions handling offset by complex pricing

    3.0
    Jun 23, 2026
    White technically is a enterprise service designed to handle millions of documents with additional storage units it has a lot of limits, configuration quirks and budget gotchas. The indexing and search is top quality semantic search with generative AI but a lot of work has to be done for managing the content in the storage units, indexes and proactive cost management.
  • Read All 33 Reviews

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  • Market Guide for Enterprise AI Search
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User Sentiment About Amazon Kendra
Reviewer Insights for: Amazon Kendra
Deciding Factors: Amazon Kendra Vs. Market Average
Performance of Amazon Kendra Across Market Features

Amazon Kendra Likes & Dislikes

Like

The machine learning-powered search engine delivers highly accurate, natural language results that far outperform standard keyword queries. Out-of-box data connectors make content processing seamless by easily linking disjointed data sources like S3 and SharePoint.

Like

The machine learning-powered search engine delivers highly accurate, natural language results that far outperform standard keyword queries. Out-of-box data connectors make content processing seamless by easily linking disjointed data sources like S3 and SharePoint.

Like

The machine learning-powered search engine delivers highly accurate, natural language results that far outperform standard keyword queries. Out-of-box data connectors make content processing seamless by easily linking disjointed data sources like S3 and SharePoint.

Dislike

Price and limits. Pricing starts based on edition the enterprise basic has 100.000 document capacity which can be extended with storage units but GenAI Edition has only 20.000 document capacity. The main issue with pricing beside the initial edition price is that you pay to keep indexes active regardless if it has queries or not. The storage units have a hourly rate regardless of size or indexed documents. The limits restrict you to documents smaller than 50MB or with 5MB of extracted text. This means that big documents have to be split in chunks which affects the linking capabilities.

Dislike

Price and limits. Pricing starts based on edition the enterprise basic has 100.000 document capacity which can be extended with storage units but GenAI Edition has only 20.000 document capacity. The main issue with pricing beside the initial edition price is that you pay to keep indexes active regardless if it has queries or not. The storage units have a hourly rate regardless of size or indexed documents. The limits restrict you to documents smaller than 50MB or with 5MB of extracted text. This means that big documents have to be split in chunks which affects the linking capabilities.

Dislike

Price and limits. Pricing starts based on edition the enterprise basic has 100.000 document capacity which can be extended with storage units but GenAI Edition has only 20.000 document capacity. The main issue with pricing beside the initial edition price is that you pay to keep indexes active regardless if it has queries or not. The storage units have a hourly rate regardless of size or indexed documents. The limits restrict you to documents smaller than 50MB or with 5MB of extracted text. This means that big documents have to be split in chunks which affects the linking capabilities.