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Ruby on Rails VS H2O.ai

Compare Ruby on Rails VS H2O.ai and see what are their differences

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Contents:
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  3. » Reviews
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Ruby on Rails logo Ruby on Rails

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

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
  • 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

  • H2O.ai Landing page
    Landing page //
    2023-10-25

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.

H2O.ai features and specs

  • Open Source
    H2O.ai provides open-source machine learning and AI tools that allow developers and data scientists to access and modify the source code, enabling greater customization and transparency.
  • AutoML
    H2O.ai's AutoML functionality significantly reduces the time and effort required to build and deploy machine learning models by automating key parts of the data science workflow.
  • Scalability
    The platform is designed to handle large datasets efficiently, both on single machines and in distributed environments, making it suitable for enterprise-level applications.
  • Wide Range of Algorithms
    H2O.ai supports a diverse set of machine learning algorithms, including deep learning, gradient boosting, and generalized linear modeling, among others.
  • Integration
    It seamlessly integrates with popular data science tools and platforms, such as R, Python, and Spark, facilitating ease of use in existing workflows.
  • Enterprise Support
    H2O.ai offers enterprise-level support and additional features through its Driverless AI product, which can be attractive for businesses seeking professional services and scalability.

Possible disadvantages of H2O.ai

  • Learning Curve
    The platform can have a steep learning curve for beginners, particularly those who are not familiar with programming or data science concepts.
  • Cost
    While the open-source version is free, the enterprise version (Driverless AI) comes with a significant cost, which may be prohibitive for smaller organizations or individual practitioners.
  • Resource Intensive
    The platform can be resource-intensive, requiring substantial computational power and memory, potentially limiting its accessibility to those with high-end hardware or cloud resources.
  • Complexity
    Despite the AutoML features, advanced users may find certain functionalities and customizations complex, necessitating deep technical knowledge and experience.
  • Limited Visualization Tools
    Compared to some competitors, H2O.ai offers fewer built-in data visualization tools, which may necessitate the use of additional software to fully understand and interpret data.

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

H2O.ai videos

+ Add

[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

Category Popularity

0-100% (relative to Ruby on Rails and H2O.ai)

Ruby on Rails

H2O.ai

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
AI
0 0%
AI
100% 100

Questions and Answers

As answered by people managing Ruby on Rails and H2O.ai.

What makes your product unique?

H2O.ai's answer:

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using Ruby on Rails and H2O.ai. 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 Ruby on Rails and H2O.ai

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

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
Source: www.datamation.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Ruby on Rails seems to be a lot more popular than H2O.ai. While we know about 142 links to Ruby on Rails, we've tracked only 3 mentions of H2O.ai. 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 / 12 days ago
  • Open Source: A Goldmine for Indie Hackers
    Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / 13 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 / 15 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 / 25 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 2 months ago
View more

H2O.ai mentions (3)

  • Major Technologies Worth Learning in 2025 for Data Professionals
    Artificial Intelligence (AI) is becoming a ubiquitous, and dare I say, indispensable part of data workflows. Tools like ChatGPT have made it easier to review data and write reports. But diving even deeper, tools like DataRobot, H2O.ai, and Google’s AutoML are also simplifying machine learning pipelines and automating repetitive tasks, enabling professionals to focus on high-value activities like model optimization... - Source: dev.to / 5 months ago
  • AI Democratization: Unlocking the Power of Artificial Intelligence for All
    Open-Source AI Frameworks: Open-source tools like TensorFlow, PyTorch, and H2O.ai allow developers to build and share AI models. These frameworks are freely available, fostering collaboration and innovation within the AI community. - Source: dev.to / 7 months ago
  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / about 4 years ago

What are some alternatives?

When comparing Ruby on Rails and H2O.ai, you can also consider the following products

Laravel - A PHP Framework For Web Artisans

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Django - The Web framework for perfectionists with deadlines

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

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

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