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Amazon SageMaker VS IntelliJ IDEA

Compare Amazon SageMaker VS IntelliJ IDEA and see what are their differences

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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.

IntelliJ IDEA logo IntelliJ IDEA

Capable and Ergonomic IDE for JVM
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • IntelliJ IDEA Landing page
    Landing page //
    2023-07-20

Amazon SageMaker videos

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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)

IntelliJ IDEA videos

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Overview of IntelliJ IDEA

More videos:

  • Review - Why I Use IntelliJ IDEA
  • Review - Be More Productive With IntelliJ IDEA by Trisha Gee

Category Popularity

0-100% (relative to Amazon SageMaker and IntelliJ IDEA)

Amazon SageMaker

IntelliJ IDEA

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IDE
0 0%
IDE
100% 100
AI
100 100%
AI
0% 0
Text Editors
0 0%
Text Editors
100% 100

User comments

Share your experience with using Amazon SageMaker and IntelliJ IDEA. For example, how are they different and which one is better?
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Reviews

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

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

IntelliJ IDEA Reviews

20 Best Diff Tools to Compare File Contents on Linux
Intellij Idea is an enterprise development, cross-platform software for multiple operating systems. It is used to review the differences between any two files, folders, text sources, or database objects, as well as between local files and their repository versions.
Source: linuxopsys.com
9 Of The Best Android Studio Alternatives To Try Out
IntelliJ IDEA, the routine tasks like coding, are handled by IntelliJ IDEA, which leads to accelerated development. It also allows the programmer to focus on functionality.
Source: technicalustad.com
Top 10 Visual Studio Alternatives
Moreover, it also offers the code for each of the mentioned languages. The community edition of the IntelliJ IDEA is free of cost, and you can avail of the basic features for the development of android based applications.
Source: blog.back4app.com
10 Best Android Studio Alternatives For App Development
And it also understands many other languages like Groovy, Kotlin, Scala, JavaScript, Typescript and SQL, etc. So it has many numbers of features to accelerate the development process. Therefore, it allows its programmers to concrete on functionality. Therefore, IntelliJ IDEA handles the routine coding tasks.
Source: techdator.net

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 35 times since March 2021. 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.

Amazon SageMaker mentions (35)

  • 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 / 21 days 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
  • Live object recognition system using Kinesis and SageMaker
    In this blog, you will see how to ingest audio/video feeds from any live recording camera into the AWS Kinesis Video Stream and apply various machine learning algorithms on the video stream to analyze these video feeds using Amazon SageMaker. We'll also use a few other services like Lambda, S3, EC2, IAM, ECS, CloudFormation, ECR, CloudWatch, etc. To power our model. Source: about 1 year ago
View more

IntelliJ IDEA mentions (0)

We have not tracked any mentions of IntelliJ IDEA yet. Tracking of IntelliJ IDEA recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon SageMaker and IntelliJ IDEA, you can also consider the following products

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.

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

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.

Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft

Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

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