Software Alternatives, Accelerators & Startups
Register | Login

Ruby on Rails VS Hadoop

Compare Ruby on Rails VS Hadoop and see what are their differences

ASocks
Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Ruby on Rails logo Ruby on Rails

Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Ruby on Rails Landing page
    Landing page //
    2023-10-23

We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects. Also, to find more open-source ruby alternatives, you can check out libhunt.com/r/rails

  • Hadoop Landing page
    Landing page //
    2021-09-17

Ruby on Rails features and specs

  • Rapid Development
    Ruby on Rails uses conventions over configurations which allows developers to build applications quickly. It comes with a wealth of built-in tools and libraries that streamline the development process.
  • Community Support
    Rails has a vibrant and active community. This means a lot of third-party libraries (gems) are available, and you can easily find help and resources.
  • Convention over Configuration
    Rails emphasizes convention over configuration, which reduces the number of decisions developers need to make. This can increase productivity and consistency across projects.
  • Built-in Testing
    Rails comes with a strong built-in testing framework, making it easier to test your application and ensure that it works as expected.
  • Scalability Options
    Although it has a reputation for not being the most scalable framework, Rails can be made scalable with good architecture and the right tools.
  • RESTful Design
    Rails promotes RESTful application design, which means that it aligns well with best practices in web development and makes it easier to build APIs.

Possible disadvantages of Ruby on Rails

  • Performance
    Ruby on Rails can be slower than some other frameworks, particularly for applications that require a lot of computation or have high traffic.
  • Learning Curve
    While Rails makes many things easier with its conventions, this can create a steep learning curve for newcomers who need to understand the 'Rails way' of doing things.
  • Scalability Concerns
    Due to its monolithic nature, scaling Rails can be challenging, requiring significant architectural changes and optimizations.
  • Lesser Flexibility
    The conventions that make Rails easy to use can also be limiting. When you need to do something outside the typical Rails flow, it may be harder to implement.
  • Runtime Speed
    Ruby, the language that Rails is built on, is generally slower in terms of execution speed compared to other languages like Java or C++.
  • Memory Consumption
    Rails applications can consume a lot of memory, which can be a concern for large-scale applications or those with limited resources.

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Ruby on Rails videos

+ Add

Ruby On Rails Biggest Waste Of Time In 2020 | Ruby on Rails Dead

More videos:

  • Tutorial - Ruby on Rails Tutorial | Build a Book Review App - Part 1

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Ruby on Rails and Hadoop)

Ruby on Rails

Hadoop

Developer Tools
100 100%
Developer Tools
0% 0
Databases
0 0%
Databases
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Ruby on Rails and Hadoop. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Ruby on Rails and Hadoop

Ruby on Rails Reviews

  1. Stan
    · Founder at SaaSHub ·
    The most productive web framework

    Yes, there are other more trending frameworks; however, nothing reaches the productivity of Rails. It's simply unbeatable if you have a small team.

    For example both SaaSHub and LibHunt were built on Rails.

    🏁 Competitors: Django, Laravel
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
Top 5 Laravel Alternatives
In terms of documentation, guidelines, and libraries, Ruby on Rails is the superior framework for smaller applications. Since it entered the online scene before Laravel, its community is larger and more well-liked among programmers. When compared to other Laravel alternatives, Ruby’s code is much simpler to understand and write.
Source: www.etatvasoft.com
Top 10 Phoenix Framework Alternatives
While modern frameworks try to minimize the tradeoffs to a limited extent, none of them has come closer to the implementation of the Phoenix Framework, which offers Ruby on Rails levels of productivity while being one of the fastest frameworks available in the market.
Source: blog.back4app.com
10 Ruby on Rails Alternatives For Web Development in 2022
Once a prolific web development technology, in 2021, both Ruby and Ruby on Rails are considered dying technologies. The data speaks for itself. In October 2021, Ruby lost 3 ranks in the Tiobe Index compared to October 2020 and became the 16th most searched programming language. The same decline in Ruby on Rails popularity is demonstrated by Google Trends. The language...
Source: www.ideamotive.co
Get Over Ruby on Rails — 3 Alternative Web Frameworks Worth Checking Out
Disclaimer: I started working on this article before the big controversy about Basecamp happened. I don’t want to make any point about this in the article. Regardless of what DHH and others are saying on different topics, Ruby on Rails is still a great piece of software and will continue to be. But there are some great alternatives as well that I would like to highlight.
Source: betterprogramming.pub

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Ruby on Rails should be more popular than Hadoop. It has been mentiond 142 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.

Ruby on Rails mentions (142)

  • Unlocking Opportunities: How to Thrive as a Ruby Engineer in Today's Tech Landscape
    Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / 1 day ago
  • Open Source: A Goldmine for Indie Hackers
    Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / 2 days ago
  • Indie Hacking with Open Source Tools: Innovating on a Budget
    This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / 4 days ago
  • Charybdis ORM: Building High-Performance Distributed Rust Backends with ScyllaDB
    Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction,... - Source: dev.to / 14 days ago
  • Ask HN: What's the ideal stack for a solo dev in 2025
    As it's just you I'd stick with Ruby on Rails 8[1] as you already know it and I think it could realistically easily achieve what you're proposing. There's lots of libraries to for calling out external AI services. e.g. Something like FastMCP[2] From the sound of it that's all you need. I'd use Hotwire[3] for the frontend and Hotwire Native if you want to rollout an app version quickly. I'd back it with... - Source: Hacker News / about 1 month ago
View more

Hadoop mentions (23)

  • India Open Source Development: Harnessing Collaborative Innovation for Global Impact
    Over the years, Indian developers have played increasingly vital roles in many international projects. From contributions to frameworks such as Kubernetes and Apache Hadoop to the emergence of homegrown platforms like OpenStack India, India has steadily carved out a global reputation as a powerhouse of open source talent. - Source: dev.to / 4 days ago
  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / 2 months ago
  • Embracing the Future: India's Pioneering Journey in Open Source Development
    Navya: Designed to streamline administrative processes in educational institutions, Navya continues to demonstrate the power of open source in addressing local needs. Additionally, India’s vibrant tech communities are well represented on platforms like GitHub and SourceForge. These platforms host numerous Indian-led projects and serve as collaborative hubs for developers across diverse technology landscapes.... - Source: dev.to / 2 months ago
  • Where is Java Used in Industry?
    The rise of big data has seen Java arise as a crucial player in this domain. Tools like Hadoop and Apache Spark are built using Java, enabling businesses to process and analyze massive datasets efficiently. Java’s scalability and performance are critical for big data results that demand high trustability. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Ruby on Rails and Hadoop, you can also consider the following products

Laravel - A PHP Framework For Web Artisans

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

Django - The Web framework for perfectionists with deadlines

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.

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

Loading...