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VS Code VS Dataiku DSS

Compare VS Code VS Dataiku DSS and see what are their differences

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VS Code logo VS Code

Build and debug modern web and cloud applications, by Microsoft

Dataiku DSS logo Dataiku DSS

Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.
  • VS Code Landing page
    Landing page //
    2024-10-09
  • Dataiku DSS Landing page
    Landing page //
    2023-10-21

Get Started with a Free Trial: https://www.dataiku.com/product/get-started/

VS Code features and specs

  • Cross-platform
    VS Code works on Windows, macOS, and Linux, providing a consistent development experience across different operating systems.
  • Extensibility
    A vast library of extensions allows users to add functionalities like debuggers, linters, and themes, making it highly customizable.
  • Integrated Git
    Built-in Git integration makes it easy to manage version control tasks directly within the editor.
  • Performance
    Lightweight compared to full-fledged IDEs, ensuring good performance even on systems with limited resources.
  • IntelliSense
    Advanced code completion and refactoring tools help improve coding efficiency and reduce errors.
  • Community Support
    A strong and active community provides extensive support, tutorials, and third-party extensions.
  • Debugging
    Robust debugging tools for various languages and frameworks are available out of the box.
  • Free and Open-Source
    VS Code is completely free to use and open-source, which is beneficial for both individual developers and organizations.

Possible disadvantages of VS Code

  • Limited IDE Features
    While extensible, it may lack some advanced features found in dedicated IDEs out of the box.
  • Extension Management
    Managing and configuring a large number of extensions can become cumbersome and sometimes lead to performance issues.
  • Learning Curve
    Although user-friendly, it has a steeper learning curve for beginners due to its numerous features and customization options.
  • Memory Usage
    Despite being lightweight, it can consume a significant amount of memory when multiple extensions are installed.
  • Update Frequency
    Frequent updates may sometimes introduce bugs or require users to adapt to new changes quickly.
  • Internet Dependency
    Some features and extensions may require an internet connection to function optimally.
  • Telemetry
    By default, VS Code collects usage data, which might be a concern for users sensitive about data privacy. However, this can be disabled.

Dataiku DSS features and specs

  • End-to-End Platform
    Dataiku DSS provides an end-to-end solution for data science, facilitating everything from data preparation to model deployment, which simplifies the entire data workflow within a single platform.
  • Collaborative Environment
    The platform supports collaborative functions that enable data scientists, analysts, and business users to work together, improving productivity and facilitating better decision-making.
  • User-Friendly Interface
    Dataiku DSS has a highly intuitive graphical user interface (GUI) that allows users with varying technical skills to navigate the platform, which lowers the barrier to entry for non-technical stakeholders.
  • Scalability
    Dataiku DSS is scalable and can handle large volumes of data, making it suitable for both small teams and large enterprises with extensive data needs.
  • Integration Capabilities
    It offers broad integration capabilities with various data storage systems, machine learning libraries, and other third-party applications, providing flexibility in your tech stack.
  • Automation and Machine Learning
    The platform includes features for automation, machine learning, and deep learning, which streamline complex data science tasks and reduce the need for manual intervention.

Possible disadvantages of Dataiku DSS

  • Cost
    Dataiku DSS can be expensive for smaller companies or startups. The cost might be a significant factor for businesses with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, the platform offers extensive functionalities that may require some time for new users to fully master, making the initial learning curve somewhat steep.
  • Resource Intensive
    The platform can be resource-intensive, requiring substantial computational power and storage, which could necessitate additional investment in hardware or cloud resources.
  • Limited Customization
    While Dataiku DSS offers many built-in features, there might be limitations in customizing these features to meet very specific or niche use cases, potentially requiring workarounds.
  • Dependent on Connected Tools
    Its capabilities heavily rely on connected tools and services. If there are issues with these integrations, it can hinder the overall functionality and performance of the platform.
  • Complex Licensing
    The licensing model can be complex and may require careful consideration to understand the full scope of costs and limitations related to different tiers and features.

Analysis of VS Code

Overall verdict

  • Yes, VS Code is generally considered a good choice for developers due to its flexibility, efficiency, and strong community support. It is lightweight, fast, and user-friendly, catering to both novice and experienced developers.

Why this product is good

  • VS Code, developed by Microsoft, is a widely popular and versatile code editor. It offers a robust extension ecosystem, which allows developers to customize their workflow and coding environment extensively. Additionally, VS Code supports numerous programming languages right out of the box and provides features like IntelliSense, debugging, Git integration, and a built-in terminal, making it a powerful tool for developers.

Recommended for

  • Web developers looking for a comprehensive yet lightweight coding environment.
  • Software developers who need an editor with extensive language support and customization options.
  • Beginner programmers who would benefit from a feature-rich editor that can grow with their skills.
  • Developers interested in an open-source tool with continuous updates and community-driven enhancements.

Analysis of Dataiku DSS

Overall verdict

  • Dataiku DSS is a robust and versatile data science platform that is well-suited for organizations looking to streamline and collaborate on their data analysis processes. Its user-friendly approach and wide range of features make it a strong contender in the data science platform landscape.

Why this product is good

  • Dataiku DSS is a comprehensive data science platform designed to facilitate the end-to-end process of data analysis, from data preparation to machine learning model deployment. It offers a user-friendly interface that accommodates both technical and non-technical users, fostering collaboration between data scientists, analysts, and business professionals. The platform supports a wide range of data sources and integrations, making it versatile for various data needs. Furthermore, it provides features like visual programming, automated machine learning, and support for popular coding languages to enhance productivity and efficiency.

Recommended for

    Dataiku DSS is recommended for data teams in mid-to-large-sized organizations that value collaboration and efficiency in data projects. It is especially beneficial for businesses that require a platform accommodating both technical and non-technical users, as well as those looking to enhance their data science capabilities with automated tools and integrations.

VS Code videos

+ Add

My New Favorite Text Editor - Visual Studio Code

More videos:

  • Review - 7 reasons why I switched to Visual Studio Code from Sublime Text

Dataiku DSS videos

+ Add

Dataiku DSS Tutorial 101: Your very first steps

More videos:

  • Demo - Dataiku 3 Minute Demo

Category Popularity

0-100% (relative to VS Code and Dataiku DSS)

VS Code

Dataiku DSS

Text Editors
100 100%
Text Editors
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
IDE
100 100%
IDE
0% 0
Technical Computing
0 0%
Technical Computing
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 VS Code and Dataiku DSS

VS Code Reviews

  1. dksinden
    · Working at SpeechKit ·
Boost Your Productivity with These Top Text Editors and IDEs
Visual Studio Code, commonly known as VS Code, is a powerful and extensible code editor developed by Microsoft. With its rich ecosystem of extensions and features like IntelliSense, debugging, and Git integration, VS Code enhances your coding productivity.
Source: convesio.com
13 Best Text Editors to Speed up Your Workflow
Finally, the Visual Studio Code website has numerous tabs for you to learn about the software. The documentation page walks you through steps like the setup and working with different languages. You’re also able to check out some tips and tricks and learn all of the Visual Studio Code keyboard shortcuts. Along with a blog, updates page, extensions library and API...
Source: kinsta.com
Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Previously, VS Code was more suited to developers or engineers due to its lack of data analysis capabilities, but since 2020, the VS Code team has collaborated with the Jupyter team to create an integrated notebook within VS Code. The end result is a fantastic IDE workbook for data analysis.
Source: lakefs.io
The Best IDEs for Java Development: A Comparative Analysis
Overview: Although not a traditional IDE, VS Code has gained popularity as a lightweight code editor.
Source: dev.to
20 Best Diff Tools to Compare File Contents on Linux
Visual studio code is a code editor made by Microsoft. It supports several development operations like debugging, task running, and version control. It works on Linux, macOS and Windows operating systems.
Source: linuxopsys.com

Dataiku DSS Reviews

We have no reviews of Dataiku DSS yet.
Be the first one to post

Social recommendations and mentions

Based on our record, VS Code seems to be more popular. It has been mentiond 1146 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.

VS Code mentions (1146)

  • What Are the Best Code Editors for Collaborative Coding?
    Visual Studio Code is a highly popular, lightweight, and versatile code editor. Its Live Share extension transforms it into a powerful collaborative tool. With Live Share, developers can co-edit and co-debug codes in real-time, making it easier to handle complex projects together. It offers:. - Source: dev.to / 14 days ago
  • Before the Code: Why I Chose Web Development and How I Got Started
    Built-in terminal (you’ll love this later) Download it here. - Source: dev.to / 15 days ago
  • #The Chronicles of Sam: 10,000 Hours to Say “Hi” Automatically 💬
    Somewhere between enabling CORS and accidentally enabling IAM authentication, Sam backed out slowly and did what all developers eventually do when faced with AWS UI: They closed the tab and opened [VSCode 🖥️].(https://code.visualstudio.com/). - Source: dev.to / 21 days ago
  • Build Python Docker Development Environment on Win11 from Scratch
    Download VSCode through the following URL Https://code.visualstudio.com/. - Source: dev.to / 27 days ago
  • How to Handle File Uploads with Node.js and Express - Multer Edition
    A text editor or lightweight IDE such as Visual Studio Code. - Source: dev.to / 27 days ago
View more

Dataiku DSS mentions (0)

We have not tracked any mentions of Dataiku DSS yet. Tracking of Dataiku DSS recommendations started around Mar 2021.

What are some alternatives?

When comparing VS Code and Dataiku DSS, you can also consider the following products

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.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Vim - Highly configurable text editor built to enable efficient text editing

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.

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

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