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Apache Storm VS GitHub Desktop

Compare Apache Storm VS GitHub Desktop and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.

GitHub Desktop logo GitHub Desktop

GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • GitHub Desktop Landing page
    Landing page //
    2023-05-02

Apache Storm features and specs

  • Real-Time Processing
    Apache Storm is designed for processing data in real-time, which makes it ideal for applications like fraud detection, recommendation systems, and monitoring tools.
  • Scalability
    Storm is capable of scaling horizontally, allowing it to handle increasing amounts of data by adding more nodes, making it suitable for large-scale applications.
  • Fault Tolerance
    Storm provides robust fault-tolerance mechanisms by rerouting tasks from failed nodes to operational ones, ensuring continuous processing.
  • Broad Language Support
    Apache Storm supports multiple programming languages, including Java, Python, and Ruby, allowing developers to use the language they are most comfortable with.
  • Open Source Community
    Being an Apache project, Storm benefits from a strong open-source community, which contributes to its development and offers abundant resources and support.

Possible disadvantages of Apache Storm

  • Complex Setup
    Setting up and configuring Apache Storm can be complex and time-consuming, requiring detailed knowledge of its architecture and the underlying infrastructure.
  • High Learning Curve
    The architecture and components of Storm can be difficult for new users to grasp, leading to a steeper learning curve compared to some other streaming platforms.
  • Maintenance Overhead
    Managing and maintaining a Storm cluster can require significant effort, including monitoring, troubleshooting, and scaling the infrastructure.
  • Error Handling
    While Storm is fault-tolerant, its error handling at the application level can sometimes be challenging, requiring careful design to manage failures effectively.
  • Resource Intensive
    Storm can be resource-intensive, particularly in terms of memory and CPU usage, which can lead to increased costs and necessitate powerful hardware.

GitHub Desktop features and specs

  • User-Friendly Interface
    GitHub Desktop offers a clean, intuitive GUI that simplifies the Git process, making it accessible for beginners and less technical users.
  • Seamless GitHub Integration
    The application is tightly integrated with GitHub, allowing users to easily clone repositories, create branches, and submit pull requests directly through the desktop interface.
  • Cross-Platform Support
    GitHub Desktop is available on both Windows and macOS, offering a consistent experience across these major operating systems.
  • Simplifies Workflow
    Features like drag-and-drop to add files, visual diff tools, and easy branching help streamline the workflow for users.
  • Collaborative Features
    The app provides useful collaborative tools such as reviewing changes, creating requests, and viewing history, enhancing team productivity.

Possible disadvantages of GitHub Desktop

  • Limited Advanced Features
    While GitHub Desktop is great for basic tasks, it lacks advanced features found in other Git clients like GitKraken or the command line.
  • Dependency on GitHub
    The app is deeply integrated with GitHub, which can be limiting for users who want to interact with repositories hosted on other platforms like GitLab or Bitbucket.
  • Performance Issues
    Some users report performance issues when dealing with large repositories or a significant number of files, which can hinder productivity.
  • Customization Limitations
    GitHub Desktop offers limited customization options compared to other Git clients or the command line, which may be a drawback for power users.
  • Offline Limitations
    Certain features of GitHub Desktop require an internet connection to interact with GitHub, limiting its usability in offline scenarios.

Apache Storm videos

+ Add

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

GitHub Desktop videos

+ Add

GitHub Desktop 2.0 -- Easy Mode Version Control

More videos:

  • Review - GitHub Desktop Quick Intro For Windows
  • Tutorial - Git and GitHub for Beginners: GitHub basics, and how to use GitHub Desktop

Category Popularity

0-100% (relative to Apache Storm and GitHub Desktop)

Apache Storm

GitHub Desktop

Big Data
100 100%
Big Data
0% 0
Git
0 0%
Git
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Code Collaboration
0 0%
Code Collaboration
100% 100

User comments

Share your experience with using Apache Storm and GitHub Desktop. 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 Apache Storm and GitHub Desktop

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developerโ€™s preferred choice. It is fast, scalable, and integrates well...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...
Source: www.analyticsinsight.net

GitHub Desktop Reviews

Best Git GUI Clients of 2022: All Platforms Included
Creating branches and switching to existing ones isnโ€™t a hassle, so is merging code with the master branch. Furthermore, you can track your changes with GitHub Desktop. Check out our detailed guide on how to use GitHub for more detailed information.
Source: www.hostinger.com
Boost Development Productivity With These 14 Git Clients for Windows and Mac
GitHub Desktop is the global standard for working with Git-related tasks in a graphical user interface (GUI). It is an open-source tool and hence completely free to use for all sorts of projects. It is available for both Windows and macOS desktops and laptops.
Source: geekflare.com
Best Git GUI Clients for Windows
GitHub Desktop is, perhaps, the most famous solution for working with Git in a visual interface. It is familiar to all developers keeping their repositories on GitHub (Git repository hosting service used for version-controlling IT projects). This free Git GUI is open-source, transparent, and functional. When you consider the Git graphical interface for Windows, GitHub...
Source: blog.devart.com

Social recommendations and mentions

Based on our record, GitHub Desktop seems to be a lot more popular than Apache Storm. While we know about 136 links to GitHub Desktop, we've tracked only 11 mentions of Apache Storm. 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.

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 3 years ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 3 years ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / almost 4 years ago
  • Elon Musk reportedly wants to fire 75% of Twitterโ€™s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: almost 4 years ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 4 years ago
View more

GitHub Desktop mentions (136)

  • You too can Git it: A beginners guide to connecting Git and GitHub
    Optional: You can also download GitHub Desktop (https://desktop.github.com) if you prefer a GUI version, but this guide focuses on Git Bash to understand the basics. - Source: dev.to / 7 months ago
  • How to Fix the Issue of Not Being Able to View Your GitHub Account on Other Devices
    Download the latest version from the GitHub Desktop website. - Source: dev.to / over 1 year ago
  • 12 Steps to Organize and Maintain Your Python Codebase for Beginners
    Iโ€™m not going to dive into Git commands here โ€” you can find plenty of tutorials online. If youโ€™re not a fan of using the plain terminal CLI, you can also manage repositories with tools like GitHub Desktop or SourceTree, which provide a more visual, intuitive interface. - Source: dev.to / almost 2 years ago
  • File Governance and Versioning in Corticon BRMS
    Using terminal commands isnโ€™t necessary for basic adoption of Git with Corticon Studio files, though. There are various tools that will allow us to bypass the command line when defining rules, including the built-in Eclipse plugin for Git version control. If youโ€™ll be storing your assets on GitHub, though, an even easier solution is GitHub Desktop, a free desktop software that GitHub offers. It can be used in... - Source: dev.to / almost 2 years ago
  • An Introduction to Nix for Ruby Developers
    Nix currently is akin to git's "porcelain": powerful but esoteric. However, much like git evolved into exoteric, user-friendly tools such as git-flow, GitHub Desktop, and Tower to become user-friendly, many developers are building abstractions, wrappers, and utilities to simplify Nix usage. Let's briefly look at a few of these tools now. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Apache Storm and GitHub Desktop, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

GitKraken - The intuitive, fast, and beautiful cross-platform Git client.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

SourceTree - Mac and Windows client for Mercurial and Git.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...

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