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Microsoft Visual Studio VS Dataiku DSS

Compare Microsoft Visual Studio VS Dataiku DSS and see what are their differences

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Microsoft Visual Studio logo Microsoft Visual Studio

Microsoft Visual Studio is an integrated development environment (IDE) from 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.
  • Microsoft Visual Studio Landing page
    Landing page //
    2023-01-18
  • Dataiku DSS Landing page
    Landing page //
    2023-10-21

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

Microsoft Visual Studio features and specs

  • Comprehensive Development Environment
    Microsoft Visual Studio offers a robust and comprehensive integrated development environment (IDE) that supports multiple programming languages, including C#, VB.NET, F#, C++, and Python. This makes it versatile for a wide variety of development needs.
  • Rich Feature Set
    The platform provides an extensive set of built-in tools and features, such as code analysis, debugging, and version control. These tools improve productivity and help maintain code quality.
  • IntelliSense
    Visual Studio’s IntelliSense offers powerful code completion, highlighting, and suggestion features that enhance the coding experience and reduce the likelihood of errors.
  • Integration with Azure and Other Microsoft Services
    The IDE integrates seamlessly with Microsoft Azure and other Microsoft services, making it easier to develop, deploy, and manage applications in the cloud.
  • Large Community and Support
    As a popular IDE, Visual Studio has a large user base and an active community. This results in a wealth of resources, including tutorials, forums, and extensions.
  • Customizability
    Visual Studio allows extensive customization through extensions and plugins, enabling developers to tailor the IDE to meet their specific needs.

Possible disadvantages of Microsoft Visual Studio

  • Resource Intensive
    Visual Studio is known to be resource-heavy, requiring significant system memory and processing power. This can slow down development, especially on less powerful machines.
  • Complexity
    The abundance of features and tools in Visual Studio can make it overwhelming for beginners or those new to the IDE. Navigating through its numerous menus and options can be challenging initially.
  • Cost
    While Visual Studio Express is free, many advanced features and professional tools are only available in the paid versions (Professional and Enterprise). This can be a drawback for individual developers and small businesses with restricted budgets.
  • Frequent Updates
    Although frequent updates can bring new features and improvements, they can also introduce bugs and require ongoing time investment to manage transitions and adapt to changes.
  • Windows-Centric
    While Visual Studio now supports macOS, it is traditionally Windows-centric and may not provide the same level of performance or features on other operating systems compared to its Windows counterpart.
  • Learning Curve
    Due to its extensive feature set and capabilities, there is a steep learning curve associated with Visual Studio. It may take considerable time for new users to become proficient.

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 Microsoft Visual Studio

Overall verdict

  • Yes, Microsoft Visual Studio is considered a highly capable and feature-rich IDE, suitable for both beginners and experienced developers.

Why this product is good

  • Microsoft Visual Studio is widely regarded as a powerful and versatile integrated development environment (IDE). It supports a broad range of programming languages including C++, C#, Python, and more, making it a popular choice for developers working on diverse projects. With features like IntelliSense, integrated debugging, and version control, it enhances productivity and simplifies complex workflows. Its extensibility through extensions and plugins further customizes the development experience to suit individual needs.

Recommended for

  • Professional developers seeking a comprehensive IDE for large-scale projects.
  • Beginner programmers looking for an intuitive and supportive environment to learn coding.
  • Teams that require robust collaboration and version control tools integrated into their development workflow.
  • Developers working with Microsoft technologies, such as .NET, or those integrating with Azure services.

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.

Microsoft Visual Studio videos

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Dataiku DSS videos

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Dataiku DSS Tutorial 101: Your very first steps

More videos:

  • Demo - Dataiku 3 Minute Demo

Category Popularity

0-100% (relative to Microsoft Visual Studio and Dataiku DSS)

Microsoft Visual Studio

Dataiku DSS

IDE
100 100%
IDE
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Text Editors
100 100%
Text Editors
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 Microsoft Visual Studio and Dataiku DSS

Microsoft Visual Studio Reviews

9 Of The Best Android Studio Alternatives To Try Out
Microsoft Visual Studio (Download Here) is an Android studio alternative developed by Microsoft. You can build computer programs, websites, web services, and web applications and use platforms like windows forms, windows stores, Microsoft Silverlight, and Windows API.
Source: technicalustad.com
What's The Best C++ IDE? Our Top C++ IDEs & Editors In 2024
As you'd expect, this IDE supports a vast array of C++ standards, libraries, and frameworks, catering to legacy applications and modern, cutting-edge projects. So whether you're building a simple console application or a high-performance game using Unreal Engine, Visual Studio is up to the job.
Source: hackr.io
Android Studio Alternative
Visual Studio is the best alternative for android studio. It is an IDE platform developed by Microsoft. It is used to build computer programs, website, web apps, mobile apps and web services. It uses various Microsoft software development platforms such as windows forms, windows API, windows store, windows presentation foundation and microsoft silverlight. Visual studio has...
Source: www.educba.com
Top 10 Visual Studio Alternatives
Visual studio has been in the game for 20 years or more. The first version of the visual studio was established in 1997. However, since the establishment years of the Visual Studio, there have been many changes. Microsoft visual studio is an integrated development environment that Microsoft programs.
Source: blog.back4app.com
Best Eclipse Alternatives to Use
Visual Studio is the most used IDE for .Net developers. It is an IDE that can be used to create almost all types of applications. It is used by many developers across the world to create many types of applications, both desktop and web-based.
Source: eclipsewin.com

Dataiku DSS Reviews

We have no reviews of Dataiku DSS yet.
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Social recommendations and mentions

Based on our record, Microsoft Visual Studio seems to be more popular. It has been mentiond 1 time 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.

Microsoft Visual Studio mentions (1)

  • Why don't schools teach the modern c++?
    While the editor seems to old fashioned there isn't anything particularly wrong in using it for learning. Alternatively you can propose to your teacher about https://visualstudio.microsoft.com/vs/express/ . IMO editor is not a big factor when we are talking about high school learning. Source: about 4 years ago

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 Microsoft Visual Studio and Dataiku DSS, you can also consider the following products

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.

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

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

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.

VS 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.

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