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ML.NET VS Dataiku

Compare ML.NET VS Dataiku and see what are their differences

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ML.NET logo ML.NET

Machine Learning framework by Microsoft in .net framework and C#.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • ML.NET Landing page
    Landing page //
    2023-03-01
  • Dataiku Landing page
    Landing page //
    2023-08-17

ML.NET videos

+ Add

Announcing ML.NET 2.0 | .NET Conf 2022

More videos:

  • Review - ML.NET Model Builder: Machine learning with .NET
  • Review - What's New in ML.NET 2.0

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 ML.NET and Dataiku)

ML.NET

Dataiku

Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
AI
100 100%
AI
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

Share your experience with using ML.NET 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 ML.NET and Dataiku

ML.NET Reviews

We have no reviews of ML.NET yet.
Be the first one to post

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 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....
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, ML.NET seems to be more popular. It has been mentiond 2 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.

ML.NET mentions (2)

  • what is the future of ML.NET?
    Documentation - You can find tutorials and how-to guides in our documentation site. Probably the easiest way to get started is with the Model Builder extension in Visual Studio. Here's install instructions and a tutorial to help you start out. Source: almost 2 years ago
  • What is the best way to get started with AI and ML in C#?
    I would start right here- ML.Net Documentation. Source: almost 3 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 ML.NET and Dataiku, you can also consider the following products

R Caret - Documentation for the caret package.

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

H2O.ai - Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

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

R MLstudio - The ML Studio is interactive for EDA, statistical modeling and machine learning applications.

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

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