Software Alternatives & Reviews

Microsoft R VS Amazon SageMaker

Compare Microsoft R VS Amazon SageMaker and see what are their differences

Microsoft R logo Microsoft R

http://t.co/K4T8CjAjVF is a collection of resources for the R Open Source Statistics Community -- sponsored by Revolution Analytics.

Amazon SageMaker logo Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
  • Microsoft R Landing page
    Landing page //
    2019-10-19
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Microsoft R videos

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Amazon SageMaker videos

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Category Popularity

0-100% (relative to Microsoft R and Amazon SageMaker)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Business Intelligence
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft R and Amazon SageMaker

Microsoft R Reviews

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Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be a lot more popular than Microsoft R. While we know about 36 links to Amazon SageMaker, we've tracked only 2 mentions of Microsoft R. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Microsoft R mentions (2)

  • IT does not allow me to have a Python environment on my computer.
    Otherwise, you could switch to Microsoft-R: https://mran.microsoft.com/open. Source: about 1 year ago
  • They've already infiltrated the school system
    Sidenote: the use of MS fighting here is weird as Microsoft actually developed a fork of R (Rip MRAN 😔). Source: over 1 year ago

Amazon SageMaker mentions (36)

  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 10 days ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 3 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 11 months ago
  • Are AI fine-tuning tools worth learning and investing?
    And there have been several platforms that help fine-tune pretrained models, such as Google Cloud AutoML and Amazon Sagemaker. These tools are often fairly easy to use, but they come at a cost. They can be expensive, depending on the size of your dataset. Another option is Finetuner+, that also fine-tunes like AutoML and Sagemaker. The big advantage is that you don't need to transfer your data to other GPUs,... Source: about 1 year ago
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What are some alternatives?

When comparing Microsoft R and Amazon SageMaker, you can also consider the following products

TIBCO Statistica - TIBCO Statistica™, now part of TIBCO Data Science, is a comprehensive and open advanced-analytics platform that helps businesses automate routine tasks and scale analytics.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.