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Mendix VS Dataiku

Compare Mendix VS Dataiku and see what are their differences

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

Mendix logo Mendix

Mendix is the fastest and easiest low-code platform used by businesses to create and continuously improve mobile and web apps at scale.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Mendix Landing page
    Landing page //
    2023-09-14
  • Dataiku Landing page
    Landing page //
    2023-08-17

Mendix

Website
mendix.com
Pricing URL
Official Mendix Pricing
$ Details
Release Date
2005 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Derckjan Kruit
Employees
250 - 499
Edit details

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999
Edit details

Mendix features and specs

  • Rapid Development
    Mendix allows for quick application development with its low-code platform, reducing time to market and enabling faster project completion.
  • Ease of Use
    The platform is designed to be user-friendly, allowing even non-developers to create applications using visual modeling tools.
  • Scalability
    Mendix applications can scale easily to accommodate growing user bases and data loads, making it suitable for enterprises of all sizes.
  • Integration Capabilities
    Mendix offers robust integration options with various systems and APIs, ensuring seamless data flow between applications and existing systems.
  • Community and Support
    The Mendix community is active and supportive, providing a wealth of resources, documentation, and forums for troubleshooting and learning.
  • Flexibility
    The platform supports a wide variety of applications across multiple industries, providing solutions that can be tailored to specific business needs.

Possible disadvantages of Mendix

  • Cost
    Mendix can be expensive, especially for smaller businesses or startups. Licensing and subscription fees can add up quickly.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with mastering the platformโ€™s more advanced features.
  • Performance
    Some users have reported performance issues, particularly with highly complex applications or when scaling rapidly.
  • Vendor Lock-In
    Using Mendix can lead to vendor lock-in, making it difficult to switch to another platform without significant redevelopment.
  • Customization Limits
    While Mendix is flexible, there are limitations to how much one can customize, particularly when it comes to very niche requirements.
  • Dependency on Internet
    As a cloud-based platform, Mendix requires a stable internet connection, which can be a limitation in environments with unreliable connectivity.

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.

Mendix videos

+ Add

What Is Mendix

Dataiku videos

+ Add

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 Mendix and Dataiku)

Mendix

Dataiku

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Project Management
100 100%
Project Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Mendix and Dataiku. 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 Mendix and Dataiku

Mendix Reviews

Low-Code Platforms Compared: Enterprise Guide for Developers
Mendix: Collaborative development environment with flexible deployment and strong AI-assisted development through Maia, plus growing agent capabilities. Strong for enterprise apps, but loosely coupled orchestration may require workarounds.
Source: rierino.com
Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: A leader in enterprise low-code development, Mendix caters to complex applications with a focus on scalability and governance. It offers advanced features like API management, cloud deployment options, and robust security protocols. Mendix is ideal for organizations that require a secure and scalable platform for building mission-critical applications.
Source: medium.com
10 Best Low-Code Development Platforms in 2020
Price: Mendix prices are based on the number of app users. Its Community version is free. Mendix offers three more plans i.e. Single App (Starts at $1875 per month), Pro (Starts at $5375 per month), and Enterprise (Starts at $7825 per month).
Source: www.softwaretestinghelp.com
The 11 Best Low-Code Development Platforms
Mendix is well-liked by Gartner and Forrester. It is a recognized leader in the space. The user rating is typically 4.5 stars.
Source: www.xplenty.com
3 easy app makers you can start on today
Independent low-code platforms: The likes of Appian, Mendix, OutSystems and Quick Base allow you to build sophisticated enterprise-grade apps that can connect with a wide range of third-party applications and data sources.
Source: www.intheblack.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.
Source: searchbusinessanalytics.techtarget.com
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 companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, Mendix seems to be more popular. It has been mentiond 1 time 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.

Mendix mentions (1)

  • Mendix Basic plan and alternatives
    The free dev-accounts that are mentioned on the website are referring to making accounts on mendix.com and developing in studio or studio pro. Those accounts are the 'dev accounts', we don't charge for that. If you create an dev account you have access to the exact same development resources as I do as a Mendix employee (or paying customer). If you as the developer want a named user account on your Prod... Source: about 5 years ago

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 Mendix and Dataiku, you can also consider the following products

OutSystems - Build Enterprise-Grade Apps Fast.

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

Zoho Creator - Zoho Creator is a low-code application development platform that helps you build a custom, mobile-ready apps to run your business.

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

Appian - See how Appian, leading provider of modern low-code and BPM software solutions, has helped transform the businesses of over 3.5 million users worldwide.

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

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