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Apache Storm VS GitHub

Compare Apache Storm VS GitHub and see what are their differences

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Apache Storm logo Apache Storm

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

GitHub logo GitHub

Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
  • Apache Storm Landing page
    Landing page //
    2019-03-11
  • GitHub Landing page
    Landing page //
    2023-10-05

GitHub

Website
github.com
$ Details
Release Date
2008 January
Startup details
Country
United States
State
California
Founder(s)
Chris Wanstrath
Employees
500 - 999

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 features and specs

  • collaboration
    GitHub provides a platform for multiple developers to work on the same project concurrently, facilitating collaboration through features like pull requests, code reviews, and issues tracking.
  • integration
    GitHub integrates seamlessly with various third-party tools and services, such as CI/CD pipelines, project management tools, and many development environments, enhancing productivity and workflow efficiency.
  • version_control
    Utilizes Git for version control, allowing users to track changes, revert to previous versions if necessary, and manage different branches of development, ensuring code stability and history tracking.
  • community
    With millions of developers and a vast repository of open-source projects, GitHub fosters a robust community where users can contribute to projects, seek help, share knowledge, and collaborate broadly.
  • availability
    GitHub is a cloud-based platform, which means that projects are accessible from anywhere with an internet connection, providing flexibility and convenience to developers globally.
  • documentation
    GitHub allows for comprehensive project documentation through README files, wikis, and GitHub Pages, making it easier for users to understand project context and contribute effectively.

Possible disadvantages of GitHub

  • cost
    While GitHub offers free plans, more advanced features and private repositories come at a cost, which might be a barrier for some individuals or small teams.
  • steep_learning_curve
    For newcomers, especially those unfamiliar with Git, the learning curve can be quite steep, making it challenging to utilize all of GitHub's features effectively.
  • privacy_concerns
    Given its expansive, open nature, users must be cautious with sensitive or proprietary information. Even with private repositories, there is a latent concern over data privacy and security.
  • interface_complexity
    The user interface, while powerful, can be overwhelming and complex for beginners or those not deeply familiar with version control concepts.
  • performance_issues
    Occasionally, GitHub may experience downtime or performance issues, which can disrupt workflow and prevent access to repositories temporarily.
  • limited_storage
    GitHub imposes limitations on storage space and file size within repositories, which can be restrictive for projects requiring large datasets or binaries.

Analysis of GitHub

Overall verdict

  • GitHub is considered an excellent choice for developers and teams looking for a reliable and efficient platform for version control and collaboration. Its community support, extensive documentation, and innovative features make it a preferred choice in the software development community.

Why this product is good

  • GitHub is a widely used platform for version control and collaboration, popular among developers and teams for its robust features, ease of use, and integration capabilities. It allows for streamlined project management, code review, and continuous integration, enhancing productivity and collaborative workflows.

Recommended for

  • Individual developers working on personal projects
  • Software development teams in need of collaborative tools
  • Open-source project maintainers and contributors
  • Organizations looking for scalable version control solutions

Apache Storm videos

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 videos

How to do coding peer reviews with Github

More videos:

Category Popularity

0-100% (relative to Apache Storm and GitHub)
Big Data
100 100%
0% 0
Software Development
0 0%
100% 100
Stream Processing
100 100%
0% 0
Code Collaboration
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 Apache Storm and GitHub

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...
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...

GitHub Reviews

  1. Reinhard
    ยท Boss at CLOUD Meister ยท
    perfect 4 open Source

Best Forums for Developers to Join in 2025
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but they are not related to code.
Source: www.notchup.com
The Top 10 GitHub Alternatives
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isnโ€™t exactly the companyโ€™s fault, the users are the ones limited from pushing their code. Another criticism concerns the price tag: some users have pointed out that GitHubโ€™s pricing model is too inflexible. Moreover, some...
Top 10 Developer Communities You Should Explore
GitHub also has an extensive API that allows it to integrate workflows seamlessly. Continuous integration, code review tools, and project management features make GitHub an essential tool for any developer, and the community aspect adds a layer of connectivity that enriches the overall experience.
Source: www.qodo.ai
Top 7 GitHub Alternatives You Should Know (2024)
FAQs: Are there any cloud source repositories similar to GitHub?Is there a free alternative to GitHub?
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
We may earn from vendors via affiliate links or sponsorships. This might affect product placement on our site, but not the content of our reviews. See our Terms of Use for details. Looking for an alternative to GitHub? Check out our in-depth list of the best GitHub competitors, covering their features, pricing, pros, cons, and more.

Social recommendations and mentions

Based on our record, GitHub seems to be a lot more popular than Apache Storm. While we know about 2466 links to GitHub, 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 / over 3 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: over 3 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
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GitHub mentions (2466)

  • Automate copying text from web browser using Bookmarklet or Tampermonkey
    // ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 3 hours ago
  • Weekly Generative AI Tool Series: A Deep Dive
    Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
  • How I Manage My VPS With Piโ€™s SSH Extension
    Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
  • Awaithuman: pagerduty mcp
    The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
  • Short-Circuit Your Agent Evals: Tier Order Is a Latency Budget, Not a Preference
    This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ€” every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
View more

What are some alternatives?

When comparing Apache Storm and GitHub, 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.

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

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

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft