Amazon Kendra vs. Amazon SageMaker

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
Amazon SageMaker
Score 8.3 out of 10
N/A
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.N/A
Pricing
Amazon KendraAmazon SageMaker
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon KendraAmazon SageMaker
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
Community Pulse
Amazon KendraAmazon SageMaker
Top Pros
Top Cons
Best Alternatives
Amazon KendraAmazon SageMaker
Small Businesses
Algolia
Algolia
Score 8.9 out of 10
Google Cloud AI
Google Cloud AI
Score 8.3 out of 10
Medium-sized Companies
Guru
Guru
Score 9.0 out of 10
Google Cloud AI
Google Cloud AI
Score 8.3 out of 10
Enterprises
Guru
Guru
Score 9.0 out of 10
Dataiku
Dataiku
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KendraAmazon SageMaker
Likelihood to Recommend
8.8
(2 ratings)
9.0
(6 ratings)
User Testimonials
Amazon KendraAmazon SageMaker
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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Amazon AWS
Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
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Pros
Amazon AWS
  • Extremely accurate.
  • Easy to use and setup.
  • Great search engine.
  • Powerful research tool.
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Amazon AWS
  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
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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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Amazon AWS
  • The UI can be eased up a bit for use by business analysts and non technical users
  • For huge amount of data pull from legacy solutions, the platform lags a bit
  • Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized
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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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Amazon AWS
Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.
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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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Amazon AWS
  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
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ScreenShots