RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.

Languages supported:

Platforms: Mac, Win, Linux

Price: $$$$$

Business Size: 1

9.2/10 (Expert Score) ★★★★★
Product is rated as #21 in category Data Science and Machine Learning Platforms
Ease of use
8.8
Support
9.3
Ease of Setup
8.6

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RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels.

RapidMiner been designated as leaders in the “Gartner Magic Quadrant for Data Science Platforms“ for the past 6 years straight and the “Forrester Wave Multimodal Predictive Analytics and Machine Learning Solutions” for 2 years running. More than 30,000 organizations in over 150 countries rely on RapidMiner to increase revenue, cut costs and, reduce risk.

RapidMiner
RapidMiner

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Customer Reviews

RapidMiner Reviews

User in Higher Education

Advanced user of RapidMiner
★★★★★
Easy to use for teaching & introducing machine learning for undergraduate and high school students

What do you like best?

The tutorial is clear, giving the students a self-learning opportunity. The examples available are very well documented and the students can see a machine learning process working with a few clicks! Besides we have a lot of videos on the internet and many papers using Rapidminer to develop cases.

It is easy to create processes and explain machine learning as the students do not need to code anything (sometimes they are afraid of that! I can tell this because I teach Python to them too...).

The interface is clear, and the program provides us with a lot of detailed information about the operators in use.

It recommends the next operators to be used, helping the students to understand prediction inside the tool.

It is a very good practical environment for Business Intelligence courses too - we had this experience at Skema with almost 200 students this semester. All of them have installed and upgraded the version without problems.

What do you dislike?

For my purposes, it fits very well. It takes a long time to start, but no problem at all.

What problems are you solving with the product? What benefits have you realized?

Introducing machine learning for undergraduate and high school students. It is easy to learn and use.

We are creating machine learning processes as practical artifacts for many disciplines (accounting, marketing, macroeconomics, and so on). Before Rapidminer, we were using Python for that, and the students - and even professors - were afraid of coding. With Rapidminer we believe it will be easier to complete the project.

Review source: G2.com

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