Amazon Kendra vs Azure Search comparison

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Amazon Web Services (AWS) Logo
3,899 views|2,871 comparisons
100% willing to recommend
Microsoft Logo
1,910 views|1,626 comparisons
62% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Mar 6, 2024

We compared Azure Search and Amazon Kendra based on our user's reviews in several parameters.

Azure Search offers powerful search capabilities, customizable experiences, and robust security measures, while Amazon Kendra provides efficient search capabilities, intelligent relevance ranking, and an easy-to-use interface. Users praise Azure Search for its scalability, integration with Azure services, and customer service, while Amazon Kendra users appreciate its natural language processing and filtering options. Additionally, Azure Search users mention the need for improved query performance and documentation, while Amazon Kendra users highlight the need for enhanced search functionality and integration with external sources.

Features: Azure Search has valuable features such as powerful search capabilities, integration with Azure services, scalability, customizable search experiences, and robust security measures. On the other hand, Amazon Kendra excels in efficient search capabilities, accurate natural language processing, helpful filtering options, intelligent relevance ranking, and an easy-to-use interface.

Pricing and ROI: The pricing, setup cost, and licensing of Azure Search have received feedback from users. However, there is insufficient information to compare these aspects with Amazon Kendra., Azure Search has proven to provide a positive return on investment with improved search capabilities, scalability, reliability, and cost-effectiveness. Unfortunately, there is no available data or reviews for Amazon Kendra's ROI.

Room for Improvement: Azure Search could benefit from enhancements in query performance, better documentation and comprehensive examples, and a more intuitive interface. Amazon Kendra could improve search relevance, integration with external sources, and natural language processing capabilities.

Deployment and customer support: User reviews for Azure Search indicate that the duration required to establish the tech solution can vary, with some users reporting a three-month deployment process and a one-week setup phase. Others mentioned that both phases took one week each. On the other hand, there is no specific information or quotes regarding the duration for deploying, setting up, and implementing Amazon Kendra., Users have highly praised the customer service and support of Azure Search. The support team was responsive, knowledgeable, and provided quick resolutions. However, no information is available about Amazon Kendra's customer service.

The summary above is based on 5 interviews we conducted recently with Azure Search and Amazon Kendra users. To access the review's full transcripts, download our report.

To learn more, read our detailed Search as a Service Report (Updated: April 2024).
768,578 professionals have used our research since 2012.
Featured Review
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."

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"The product is extremely configurable, allowing you to customize the search experience to suit your needs.""It provides good access capabilities to various platforms.""Offers a tremendous amount of flexibility and scalability when integrating with applications.""Creates indexers to get data from different data sources.""The customer engagement was good.""The product is pretty resilient.""Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​""The search functionality time has been reduced to a few milliseconds."

More Azure Search Pros →

Cons
"The time it takes for indexing documents could be reduced.""There are some token limits."

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"Adding items to Azure Search using its .NET APIs sometimes throws exceptions.""For SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development.""The pricing is room for improvement.""For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​""The after-hour services are slow.""It would be good if the site found a better way to filter things based on subscription.""The initial setup is not as easy as it should be.""The solution's stability could be better."

More Azure Search Cons →

Pricing and Cost Advice
  • "The pricing falls in the medium range."
  • More Amazon Kendra Pricing and Cost Advice →

  • "​When telling people about the product, I always encourage them to set up a new service using the free pricing tier. This allows them to learn about the product and its capabilities in a risk-free environment. Depending on their needs, the free tier may be suitable for their projects, however enterprise applications will most likely required a higher, paid tier."
  • "For the actual costs, I encourage users to view the pricing page on the Azure site for details.​"
  • "I think the solution's pricing is ok compared to other cloud devices."
  • "I would rate the pricing an eight out of ten, where one is the low price, and ten is the high price."
  • "The solution is affordable."
  • "The cost is comparable."
  • More Azure Search Pricing and Cost Advice →

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    768,578 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:We have good use cases where stability is everything. So it's a stable solution.
    Top Answer: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… more »
    Top Answer: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 is… more »
    Top Answer:The after-hour services are slow. It could be better.
    Top Answer:We use the solution to link the Active Directory account to Office 365.
    Ranking
    2nd
    out of 13 in Search as a Service
    Views
    3,899
    Comparisons
    2,871
    Reviews
    1
    Average Words per Review
    740
    Rating
    8.0
    6th
    out of 13 in Search as a Service
    Views
    1,910
    Comparisons
    1,626
    Reviews
    4
    Average Words per Review
    395
    Rating
    6.8
    Comparisons
    Learn More
    Overview

    Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.

    Azure Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over your data in web, mobile, and enterprise applications. Functionality is exposed through a simple REST API or .NET SDK that masks the inherent complexity of search technology. In addition to APIs, the Azure portal provides administration and prototyping support. Infrastructure and availability are managed by Microsoft.
    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    XOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Manufacturing Company9%
    Government7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm13%
    Manufacturing Company8%
    Insurance Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise63%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise11%
    Large Enterprise68%
    Buyer's Guide
    Search as a Service
    April 2024
    Find out what your peers are saying about Elastic, Amazon Web Services (AWS), Microsoft and others in Search as a Service. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Amazon Kendra is ranked 2nd in Search as a Service with 2 reviews while Azure Search is ranked 6th in Search as a Service with 8 reviews. Amazon Kendra is rated 7.6, while Azure Search is rated 7.4. The top reviewer of Amazon Kendra writes "Kendra has a nice AI built-in, enhancing the search experience and highly stable solution". On the other hand, the top reviewer of Azure Search writes "Good performance for standard faceted search and full-text search". Amazon Kendra is most compared with Amazon Elasticsearch Service, Amazon AWS CloudSearch, Elastic Search, Algolia and Solr, whereas Azure Search is most compared with Elastic Search, Amazon Athena, Amazon AWS CloudSearch, Solr and Algolia.

    See our list of best Search as a Service vendors.

    We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.