Amazon Kendra vs. Amazon SageMaker

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Kendra
Score 8.7 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 8.5 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
Best Alternatives
Amazon KendraAmazon SageMaker
Small Businesses
Yext
Yext
Score 8.9 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Medium-sized Companies
Guru
Guru
Score 9.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Enterprises
Guru
Guru
Score 9.4 out of 10
Dataiku
Dataiku
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon KendraAmazon SageMaker
Likelihood to Recommend
8.7
(2 ratings)
9.0
(5 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
It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
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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
  • Machine Learning at scale by deploying huge amount of training data
  • Accelerated data processing for faster outputs and learnings
  • Kubernetes integration for containerized deployments
  • Creating API endpoints for use by technical users
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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
  • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
  • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
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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 took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
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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