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Netbeans VS Amazon SageMaker

Compare Netbeans VS Amazon SageMaker and see what are their differences

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Netbeans logo Netbeans

NetBeans IDE 7.0. Develop desktop, mobile and web applications with Java, PHP, C/C++ and more. Runs on Windows, Linux, Mac OS X and Solaris. NetBeans IDE is open-source and free.

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.
  • Netbeans Landing page
    Landing page //
    2022-07-13
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Netbeans features and specs

  • Open Source
    NetBeans is an open-source Integrated Development Environment (IDE), which means it is free to use and has a large community for support and contributions.
  • Modular Architecture
    Its modular architecture allows users to add or remove features easily, which provides flexibility to customize the IDE as per the developer's requirements.
  • Multi-Language Support
    NetBeans supports multiple programming languages such as Java, PHP, HTML5, JavaScript, and more, making it a versatile tool for developers working in different technologies.
  • Strong Java Support
    Originally developed for Java, it provides excellent support for Java development, including Maven and Ant integration, robust debugging tools, and pre-configured templates.
  • User-Friendly Interface
    The IDE boasts an intuitive and user-friendly interface, which helps improve development speed and reduces the learning curve for new users.
  • Rich Set of Features
    NetBeans offers many built-in features like code templates, project management tools, version control integration, and support for various application servers.
  • Cross-Platform Compatibility
    NetBeans can run on various operating systems, including Windows, macOS, and Linux, therefore accommodating a diverse range of development environments.

Possible disadvantages of Netbeans

  • Performance Issues
    Some users experience lagging and slow performance, particularly when dealing with large projects or running on lower-end hardware.
  • Resource Intensive
    NetBeans can be resource-intensive, requiring significant memory and processing power, which may be a limitation for some developers, especially those on older machines.
  • Plugin Ecosystem
    While NetBeans has a good set of built-in features, its plugin ecosystem is not as extensive or actively maintained as some other IDEs like IntelliJ IDEA or Visual Studio Code.
  • Steeper Learning Curve for Non-Java Languages
    Although NetBeans supports multiple languages, the learning curve can be steeper when using it for non-Java languages compared to other IDEs that may offer better out-of-the-box support.
  • Updates and Community
    Since transitioning to Apache, the frequency of updates and the overall maintenance has seen slowdowns, which might affect the availability of the latest features and bug fixes.
  • UI Responsiveness
    Some users have reported that the UI can sometimes become unresponsive, especially during heavy development tasks or when multiple extensions are enabled.

Amazon SageMaker features and specs

  • Fully Managed Service
    Amazon SageMaker is a fully managed service that eliminates the heavy lifting involved with setting up and maintaining infrastructure for machine learning. This allows data scientists and developers to focus on building and deploying machine learning models without worrying about underlying servers or infrastructure.
  • Scalability
    Amazon SageMaker provides scalable resources that can automatically adjust to the needs of your workload, ensuring that you can handle anything from small-scale experimentation to large-scale production deployments.
  • Integrated Development Environment
    SageMaker includes a built-in Jupyter notebook interface, which makes it straightforward for data scientists to write code, visualize data, and run experiments interactively without leaving the platform.
  • Support for Popular Machine Learning Frameworks
    SageMaker supports popular frameworks such as TensorFlow, PyTorch, Apache MXNet, and more. It also provides pre-built algorithms that can be used out-of-the-box, offering flexibility in choosing the right tool for your ML tasks.
  • Automatic Model Tuning
    SageMaker includes hyperparameter tuning capabilities that automate the process of finding the best set of hyperparameters for your model, thus saving significant time and computational resources.
  • Advanced Security Features
    SageMaker integrates with AWS Identity and Access Management (IAM) for fine-grained access control, supports encryption of data at rest and in transit, and complies with various security standards, ensuring that your machine learning projects are secure.
  • Cost Management
    With SageMaker, you only pay for what you use. This pay-as-you-go pricing model allows for better cost management and optimization, making it a cost-effective solution for various machine learning workloads.

Possible disadvantages of Amazon SageMaker

  • Complexity for New Users
    The plethora of features and options available in SageMaker can be overwhelming for beginners who are new to machine learning or the AWS ecosystem. It might require a steep learning curve to become proficient in using the platform effectively.
  • Vendor Lock-In
    Using Amazon SageMaker ties you to the AWS ecosystem, which can be a disadvantage if you want flexibility in switching between different cloud providers. Migrating models and workflows from SageMaker to another platform could be challenging.
  • Cost Management Challenges
    While SageMaker offers a pay-as-you-go pricing model, the costs can quickly add up, especially for large-scale or long-running tasks. It may require diligent monitoring and optimization to avoid unexpectedly high bills.
  • Resource Limitations
    While SageMaker is highly scalable, there are certain resource limits (like instance types and quotas) that might be restrictive for very high-demand or specialized machine learning tasks. These limits could potentially hinder the flexibility you get from an on-premises or custom deployed solution.
  • Integration Complexity
    Integrating SageMaker with other tools and systems within your workflow might require additional development effort. Custom integrations can be complex and could involve additional overhead to set up and maintain.

Analysis of Netbeans

Overall verdict

  • NetBeans is a good choice for developers who need a comprehensive and flexible IDE, particularly for Java development. Its open-source nature and active community make it a reliable option for both beginners and experienced developers.

Why this product is good

  • NetBeans is a versatile and robust Integrated Development Environment (IDE) that supports multiple languages such as Java, JavaScript, PHP, and more. It offers a range of features including code editing, debugging, and project management tools. It's open-source, providing flexibility and an active community for support. Additionally, NetBeans integrates seamlessly with other tools and platforms, enhancing its utility for developers.

Recommended for

    Java developers, web developers using HTML5, JavaScript, or PHP, beginner programmers looking for a free and powerful IDE, and developers who prefer an open-source environment.

Netbeans videos

A Review of the NetBeans Project from Geertjan Wielenga

More videos:

  • Tutorial - How to Install & Beautify NetBeans IDE for PHP on Windows

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 Netbeans and Amazon SageMaker)
Text Editors
100 100%
0% 0
Data Science And Machine Learning
IDE
100 100%
0% 0
AI
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 Netbeans and Amazon SageMaker

Netbeans Reviews

The Best IDEs for Java Development: A Comparative Analysis
User Satisfaction: With a user rating of 4.1 out of 5 and user satisfaction of 82%, NetBeans offers a solid development experience.
Source: dev.to
9 Of The Best Android Studio Alternatives To Try Out
NetBeans IDE helps you build HTML5 applications, web applications, Java desktop applications, and mobile applications. If you are a PHP or C++ developer, it offers you great tools. NetBeans IDE has a large number of developers and users all across the globe.
What's The Best C++ IDE? Our Top C++ IDEs & Editors In 2024
Rounding out my list at number ten is NetBeans, a free and open-source integrated development environment. While often thought of as Java IDE, NetBeans also offers robust support for C++ and is favored by developers seeking a comprehensive toolset for larger and more complex projects.
Source: hackr.io
Top 10 Visual Studio Alternatives
NetBeans is another code editor and an alternative to Visual Studio Microsoft. It is regarded as an integrated development environment for Java. Here, the users can develop applications. The development of the applications is from a set of integrated software components that are named modules. NetBeans are operative on Windows, macOS, Linux, and Solaris.
Best Eclipse Alternatives to Use
NetBeans IDE is a free Java Integrated Development Environment (IDE) that enables developers to create, run, debug, and deploy Java applications on all platforms at no cost. The rest of the code is available under the NetBeans Common Public License.
Source: eclipsewin.com

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 should be more popular than Netbeans. It has been mentiond 44 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.

Netbeans mentions (17)

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Amazon SageMaker mentions (44)

  • Dashboard for Researchers & Geneticists: Functional Requirements [System Design]
    Leverage Amazon SageMaker: For machine learning (ML) tasks, users can leverage Amazon SageMaker to analyze large datasets and build predictive models. - Source: dev.to / about 1 month ago
  • Address Common Machine Learning Challenges With Managed MLflow
    MLflow, an Apache 2.0-licensed open-source platform, addresses these issues by providing tools and APIs for tracking experiments, logging parameters, recording metrics and managing model versions. It also helps to address common machine learning challenges, including efficiently tracking, managing, deploying ML models and enhancing workflows across different ML tasks. Amazon SageMaker with MLflow offers secure... - Source: dev.to / 2 months ago
  • How I suffered my first burnout as software developer
    Our first task for the client was to evaluate various MLOps solutions available on the market. Over the summer of 2022, we conducted small proofs-of-concept with platforms like Amazon SageMaker, Iguazio (the developer of MLRun), and Valohai. However, because we weren’t collaborating directly with the teams we were supposed to support, these proofs-of-concept were limited. Instead of using real datasets or models... - Source: dev.to / 5 months ago
  • 👋🏻Goodbye Power BI! 📊 In 2025 Build AI/ML Dashboards Entirely Within Python 🤖
    Taipy’s ecosystem doesn’t stop at dashboards. With Taipy you can orchestrate data workflows and create advanced user interfaces. Besides, the platform supports every stage of building enterprise-grade applications. Additionally, Taipy’s integration with leading platforms such as Databricks, Snowflake, IBM WatsonX, and Amazon SageMaker ensures compatibility with your existing data infrastructure. - Source: dev.to / 5 months ago
  • Understanding the MLOps Lifecycle
    Based on your technological stack, various services are used to deploy machine learning models. Some popular services are AWS Sagemaker, Azure Machine Learning, Vertex AI, and many others. - Source: dev.to / 5 months ago
View more

What are some alternatives?

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

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.

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

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.

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.