Amazon Kendra vs. Azure AI Search

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Kendra
Score 8.8 out of 10
N/A
Amazon Kendra is presented by the vendor as an accurate and easy to use enterprise search service powered by machine learning.N/A
Azure Cognitive Search
Score 8.0 out of 10
N/A
Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
$0.10
Per Hour
Pricing
Amazon KendraAzure AI Search
Editions & Modules
No answers on this topic
Basic
$0.101
Per Hour
Standard S1
$0.336
Per Hour
Standard S2
$1.344
Per Hour
Standard S3
$2.688
Per Hour
Offerings
Pricing Offerings
Amazon KendraAzure Cognitive Search
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
Amazon KendraAzure AI Search
Small Businesses
Algolia
Algolia
Score 8.9 out of 10
Algolia
Algolia
Score 8.9 out of 10
Medium-sized Companies
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
Enterprises
Guru
Guru
Score 9.0 out of 10
Guru
Guru
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KendraAzure AI Search
Likelihood to Recommend
8.8
(2 ratings)
8.2
(2 ratings)
User Testimonials
Amazon KendraAzure AI Search
Likelihood to Recommend
Amazon AWS
An intelligent search solution that makes it easy to find the information employees and customers want to know without migrating from one place to another and without wasting time with just a few clicks, Amazon Kendra connects relevant data sources through fully functional and customizable search while minimizing risks increasing workflow by obtaining detailed results.
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Microsoft
Incredibly robust software for an enterprise organization to plug into their application. If you have a full development resource team at your disposal, this is great software and I highly recommend it. Largely, however, you won't be able to use this prior to the enterprise level. It's just too complicated and cumbersome of a product.
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Pros
Amazon AWS
  • Extremely accurate.
  • Easy to use and setup.
  • Great search engine.
  • Powerful research tool.
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Microsoft
  • Azure Search provides a fully-managed service for loading, indexing, and querying content.
  • Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity.
  • Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters".
  • Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content.
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Cons
Amazon AWS
  • Amazon Kendra is an intelligent search service that facilitates the way we obtain information by making it easier to obtain accurate documents without wasting time, it is a software that is designed to work in an optimized way, providing a business quality service with flexible features and innumerable benefits. , it is effective and fresh.
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Microsoft
  • It's an enterprise level product so you need to have the budget for it.
  • Challenging-to-impossible for a non-technical administrator to implement.
  • It further locks you into Microsoft's ecosystem and doesn't play well with non-Microsoft software. Depending on your point of view, this can be a pro or a con.
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Alternatives Considered
Amazon AWS
Amazon Kendra offers an intelligent search experience, it is a tool that facilitates the way we work by providing secure and immediate results, saves time, increases productivity and brings progress. It is the best way to get accurate answers using natural language. It is a software that works in an extraordinary way, being easy to implement, safe and effective, the experience is unique.
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Microsoft
As I've mentioned, the biggest competitor to Azure Search is actually Azure SQL Database. It doesn't have as many features, but it's more economical and most .Net applications will have one already. As long as you can arrive at a schema and ranking strategy, it's a "good enough" solution. There are a variety of search technologies (Lucene, Solr, Elasticsearch) that implement a search service. Some of them are even open source, though I would only say "free" if you do not value your time. They most likely need to be hosted via Container (or VM if you're old school), so you're incurring DevOps costs to not only set them up but monitor and maintain them yourself.
If you're already on AWS, there is almost no reason to use Azure Search. Unless you're already multi-cloud, desperately need the cognitive abilities, and don't mind a potential performance hit from looking across datacenters (hey, it could happen), you should probably just use Amazon CloudSearch.
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Return on Investment
Amazon AWS
  • Ease of use of website, converting in more sales.
  • Better internal documentation, reducing emails back-and-forth.
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Microsoft
  • Our internal market research illustrates that users are finding their desired information faster on account of autosuggest.
  • Time spent on checkout page (for conversions) is significantly decreased.
  • Clicks required on checkout page (for conversions) is significantly decreased.
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ScreenShots