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Compare Amazon SageMaker vs Azure Machine Learning Studio

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Overview

Description

Amazon SageMaker is an integrated platform designed to reduce the time and effort expended in the development of machine learning models. It provides a single web-based interface enabling ... Read More

Azure Machine Learning Studio offers unparalleled speed and agility to help enterprises quickly create, train, and deploy models. This MLOps service makes it easier than ever to collaborate ... Read More

Free Trial Availability
  • No free trial
  • No free trial
User Ratings

4.2

(63)
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Software Demo

Demo

View demo

View demo

Features

Total Features

6 Features

2 Features

Unique Features
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      Pricing

      Pricing Option
          Pricing Plans
          • Not Available
          • Not Available

          Other Details

          Organization Types supported
          • Small Business
          • Freelancers
          • Large Enterprises
          • Medium Business
          • Individuals
          • Small Business
          • Freelancers
          • Large Enterprises
          • Medium Business
          • Individuals
          Platforms Supported
          • Installed - Windows
          • Browser Based (Cloud)
          • Mobile - iOS
          • Mobile - Android
          • Mobile - Windows
          • Installed - Mac
          • Mobile - BlackBerry
          • Browser Based (Cloud)
          • Installed - Windows
          • Browser Based (Cloud)
          • Mobile - iOS
          • Mobile - Android
          • Mobile - Windows
          • Installed - Mac
          • Mobile - BlackBerry
          • Browser Based (Cloud)
          Modes of support
          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online
          API Support
          • Available
          • Available
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          Get Quote

          User Reviews

          User Ratings
          Rating Distribution

          Excellent

          21

          Very Good

          11

          Good

          3

          Poor

          0

          Terible

          1

          Excellent

          30

          Very Good

          7

          Good

          1

          Poor

          0

          Terible

          0

          Positive Reviews

          No reviews available for the product

          No reviews available for the product

          Customers

          Customers
          GE Healthcare

          GE Healthcare

          Intuit

          Intuit

          Dow Jones

          Dow Jones

          No Customers information available.

          Media and Screenshots

          Screenshots
          Overview of Amazon Sagemaker Video

          2 Screenshots

          No screenshots available.

          Videos
          video-0

          1 Videos

          video-0

          1 Videos

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          Frequently Asked Questions (FAQs)

          Stuck on something? We're here to help with all the questions and answers in one place.

          Neither Amazon SageMaker nor Azure Machine Learning Studio offers a free trial.

          Amazon SageMaker is designed for Large Enterprises, Medium Business and Small Business.

          Azure Machine Learning Studio is designed for Large Enterprises, Medium Business and Small Business.

          Pricing details for both Amazon SageMaker and Azure Machine Learning Studio are unavailable at this time. Contact the respective providers for more information.

          Some top alternatives to Amazon SageMaker includes Amazon Personalize, Qualified, Workvivo, Vivas.AI, Pretrained.ai, Deploifai, BasicAI, Google Cloud AutoML, BigML, Azure Machine Learning Studio, Databricks and Bedrock.

          Some top alternatives to Azure Machine Learning Studio includes Synapse, DeepBrainz AI, Qualified, Workvivo, Deploifai, Neuro, IBM Watson Machine Learning Accelerator, Oracle Data Science Cloud Service, Google Cloud AutoML, BigML, Amazon SageMaker and Databricks.

          Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].