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rollup.js VS Amazon Machine Learning

Compare rollup.js VS Amazon Machine Learning and see what are their differences

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rollup.js logo rollup.js

Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • rollup.js Landing page
    Landing page //
    2023-02-09
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

rollup.js features and specs

  • Tree Shaking
    Rollup.js performs treeshaking to eliminate dead code, resulting in smaller bundle sizes. It analyzes the dependency tree and includes only the parts of the code that are actually used.
  • Output Formats
    Supports multiple output formats including ES modules, CommonJS, AMD, UMD, and IIFE. This makes it versatile for different use cases.
  • Plugins
    Rollup.js has a rich ecosystem of plugins that extend its functionality, such as code transformation, minification, and support for various types of modules.
  • Code Splitting
    Supports code splitting, allowing you to break your code into smaller chunks that can be loaded on demand. This improves performance for larger projects.
  • Efficient Bundling
    Offers efficient bundling by removing duplicates and ensuring that each module gets included only once, which contributes to reduced bundle size.
  • Minimal Configuration
    Generally requires minimal configuration to get started, focusing on simplicity and ease of use.

Possible disadvantages of rollup.js

  • Learning Curve
    Although relatively simple to use, there is still a learning curve associated with understanding its configuration and the plugin system.
  • Initial Build Time
    The initial build time can be slower compared to some other bundlers, particularly for larger projects.
  • Limited Built-in Features
    Rollup.js focuses on being a minimalist tool, so it lacks some of the built-in features that other bundlers may have. Often, additional functionality needs to be added via plugins.
  • Plugin Compatibility
    Not all plugins work seamlessly with Rollup.js, and there may be occasional compatibility issues, especially with plugins originally designed for other bundlers.
  • Node.js Ecosystem
    While Rollup.js excels in bundling for browsers, it is not as commonly used for Node.js applications compared to other tools like Webpack.
  • Community Size
    The community size is smaller compared to other bundling tools like Webpack, which can sometimes make finding solutions to issues more challenging.

Amazon Machine Learning features and specs

  • Scalability
    Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
  • Integration with AWS
    Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
  • Ease of Use
    User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
  • Performance
    Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
  • Cost-Effective
    Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
  • Prebuilt AI Services
    Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages of Amazon Machine Learning

  • Complexity
    While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
  • Vendor Lock-In
    Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
  • Cost Management
    Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
  • Limited Customization
    Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
  • Data Privacy
    Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
  • Learning Curve
    Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.

Analysis of rollup.js

Overall verdict

  • Rollup.js is a highly recommended choice for projects where ES6 modules are extensively used, and the goal is to produce compact and clean output. It's particularly beneficial for library authors aiming to provide their libraries in multiple formats.

Why this product is good

  • Rollup.js is good due to its efficient bundling process that helps in creating smaller and faster JavaScript files. It uses ES6 modules which enable better tree shaking and helps in removing unused code, leading to cleaner and more optimized builds. Additionally, Rollup has a simple and modular architecture that can be extended with plugins to support various build processes and features.

Recommended for

  • JavaScript library authors
  • Developers prioritizing ES6 module syntax
  • Projects that require efficient tree shaking
  • Those needing a customizable and streamlined bundling process

Analysis of Amazon Machine Learning

Overall verdict

  • Amazon Machine Learning is a good fit for businesses that need a reliable cloud-based machine learning platform, especially those already utilizing AWS services. Its scalability and integration capabilities make it suitable for a wide range of machine learning tasks.

Why this product is good

  • Amazon Machine Learning offers scalable solutions integrated with AWS services, making it a strong choice for users already within the AWS ecosystem. Its tools are built to handle large datasets and provide robust infrastructure, contributing to ease of deployment and management. Additionally, the service enables developers and data scientists to build sophisticated models without requiring deep machine learning expertise.

Recommended for

  • Developers and data scientists seeking seamless integration with AWS cloud services.
  • Organizations handling large-scale data analyses and machine learning projects.
  • Enterprises that prioritize scalability and flexibility in their machine learning operations.
  • Teams looking for a platform that supports both novice and expert users with varying levels of machine learning expertise.

rollup.js videos

No rollup.js videos yet. You could help us improve this page by suggesting one.

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Amazon Machine Learning videos

+ Add

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to rollup.js and Amazon Machine Learning)

rollup.js

Amazon Machine Learning

Web Application Bundler
100 100%
Web Application Bundler
0% 0
AI
0 0%
AI
100% 100
JS Build Tools
100 100%
JS Build Tools
0% 0
Developer Tools
24 24%
Developer Tools
76% 76

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare rollup.js and Amazon Machine Learning

rollup.js Reviews

Rollup v. Webpack v. Parcel
Rollup provides much simpler configuration over webpack 4 and has a host of pre-configured plugins that are a breeze to incorporate into your project. Rollup's also the fastest of the build tools period.
Source: x-team.com

Amazon Machine Learning Reviews

We have no reviews of Amazon Machine Learning yet.
Be the first one to post

Social recommendations and mentions

Based on our record, rollup.js seems to be a lot more popular than Amazon Machine Learning. While we know about 62 links to rollup.js, we've tracked only 2 mentions of Amazon Machine Learning. 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.

rollup.js mentions (62)

  • JavaScript is so redundant
    Why are there so many JavaScript build tools? Gulp, Grunt, Webpack, Laravel Mix, Rollup.js, and now Vite. And these are just the ones that I've worked with. Haven't we solved this problem? And why build a new tool? Why not improve existing tools? - Source: dev.to / 13 days ago
  • ⚔️ Vite vs. Turbopack in 2025: Which One to Choose?
    Vite (pronounced veet) was created by Evan You (Vue's creator) and launched in 2020. It uses native ES modules in the browser and esbuild for lightning-fast dev servers and Rollup for optimized production builds. - Source: dev.to / 17 days ago
  • Valentine’s Day Breakup: React Dumps Create React App
    Vite is a modern frontend build tool used to develop fast and super efficient web applications. It serves files instantly and ensures that changes are updated immediately after they are implemented. It makes use of Rollup for optimized builds and has support for when you want to build a Javascript library (instead of a full app). - Source: dev.to / 3 months ago
  • Advanced Guide to Using Vite with React in 2025
    In 2025, mastering Vite for your React projects means leveraging powerful configurations, intelligent optimizations, and a robust plugin ecosystem. By understanding Vite’s modern architecture—native ES modules (ESM) during development and optimized Rollup bundling for production—you can significantly streamline your workflow, improve developer experience, and deliver fast, performant applications at scale. - Source: dev.to / 3 months ago
  • Optimizing React Development with Vite🤩.
    6. Production-Ready Code Vite uses Rollup for production builds, which optimizes the code by bundling it efficiently, performing tree shaking, and minifying JavaScript. This results in smaller, optimized production builds that are ready for deployment. - Source: dev.to / 6 months ago
View more

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 3 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 4 years ago

What are some alternatives?

When comparing rollup.js and Amazon Machine Learning, you can also consider the following products

Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Parcel - Blazing fast, zero configuration web application bundler

Apple Machine Learning Journal - A blog written by Apple engineers

npm - npm is a package manager for Node.

Lobe - Visual tool for building custom deep learning models

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