Software Alternatives, Accelerators & Startups

Laravel VS Dataiku

Compare Laravel VS Dataiku and see what are their differences

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.

Laravel logo Laravel

A PHP Framework For Web Artisans

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Laravel Landing page
    Landing page //
    2023-07-24
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Laravel features and specs

  • Eloquent ORM
    Laravel includes Eloquent ORM, which provides a beautiful and simple ActiveRecord implementation for working with your database. It allows for easy interaction with your databases, offering an intuitive syntax.
  • Blade Templating Engine
    The Blade templating engine offers a clean and efficient syntax for writing templates. It provides features like template inheritance and sections, which makes template design more manageable and organized.
  • Artisan CLI
    Laravel's Artisan Command Line Interface (CLI) allows developers to perform repetitive tasks and manage their Laravel project more efficiently with built-in commands for database migration, seeding, and building tasks.
  • Strong Community and Ecosystem
    Laravel has a large and active community that provides an abundance of resources, including packages, tutorials, and screencasts on Laracasts. This ecosystem allows for quick problem-solving and an extensive library of reusable components.
  • Robust Security Features
    Laravel provides built-in security features such as salted and hashed passwords, encryption, and protection against common vulnerabilities like SQL injection and cross-site request forgery (CSRF).
  • Efficient Testing
    Laravel comes with PHPUnit integrated, along with convenient helper methods, making writing test cases and performing automated testing more straightforward. This leads to better code reliability and fewer bugs.
  • Comprehensive Documentation
    Laravel has thorough and well-organized documentation that covers all its features in detail. This makes it easier for new and experienced developers to understand and use the framework effectively.

Possible disadvantages of Laravel

  • Performance Overhead
    Since Laravel is a full-featured framework, it includes many built-in functions and layers that can create performance overhead. For very high-performance applications, fine-tuning may be necessary.
  • Steep Learning Curve for Beginners
    For those new to web development or coming from a different programming paradigm, Laravel can be challenging to grasp initially due to its extensive features and modern PHP practices.
  • Heavy Dependency on Composer
    Laravel heavily relies on Composer for dependency management. While this is beneficial for package management, it can be a downside if you are not familiar with Composer or have issues managing packages.
  • Frequent Updates
    Laravel receives frequent updates and changes in the new versions, which can sometimes lead to compatibility issues with existing projects. Keeping up with the updates can be time-consuming.
  • Hosting Requirements
    Laravel requires specific server configurations and dependencies, which may not be available on all shared hosting services. This can necessitate using a Virtual Private Server (VPS) or dedicated server, which might have higher costs.

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

Laravel videos

Laravel in 100 seconds

More videos:

  • Review - Why Laravel is Still Best in 2018

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to Laravel and Dataiku)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Web Frameworks
100 100%
0% 0
Data Science Tools
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 Laravel and Dataiku

Laravel Reviews

Laravel vs. Symfony: A Comprehensive Comparison of PHP Frameworks
Laravel has a vibrant ecosystem with many first-party packages, such as Laravel Horizon for queue management, Laravel Echo for real-time events, and Laravel Sanctum for API authentication, that make it easy to extend functionality without much hassle.
The 20 Best Laravel Alternatives for Web Development
Oh, you bet. When devs talk Symfony, they’re eyeing robustness and a modular vibe that Laravel fans might miss. Its reusable components could tempt even the most loyal Laravel artisans to at least take a peek.
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
However, there are other excellent choices other than Laravel as well. So, let’s check out some excellent Laravel alternatives before you hire Laravel developers India for your web development project. This post provides you with a thorough understanding of the available web development framework choices and their benefits over Laravel. For that, let’s first discuss the...
Framework review: Laravel vs CodeIgniter
Let's start with CodeIgniter first. It focuses on performance and speed. It offers a simple, easy-to-learn syntax, making it ideal for beginners. CodeIgniter uses its own proprietary Active Record implementation for database operations, which provides a simple and intuitive way to interact with data. Unlike Laravel, CodeIgniter does not enforce a specific architectural...
Source: infinyhost.com

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Social recommendations and mentions

Based on our record, Laravel seems to be more popular. It has been mentiond 240 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.

Laravel mentions (240)

View more

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

When comparing Laravel and Dataiku, you can also consider the following products

Django - The Web framework for perfectionists with deadlines

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

CodeIgniter - A Fully Baked PHP Framework

NumPy - NumPy is the fundamental package for scientific computing with Python