RapidMiner Valuable Features

FF
Student at a university with 1,001-5,000 employees

There are many great features available. 

It's a good solution for a beginner data scientist. It's easy to use. Even management that may not have technical skills would find it easy and practical. 

It is easy to set up.

The solution is stable. 

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AL
Professor at Mines Rabat

The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically.

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LM
Emeritus Professor of Health Services Research at a university with 1,001-5,000 employees

The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.

RapidMiner is easy for people to get started when they want to use it. They do not have to be very skilled and can easily put up a data flow, read data, remove the missing values, tidy up the data and then put it through a decision tree or regression analysis.

It is easy to add functionality using Python or R code.

Their tutorials, including the videos, are very good.

Another powerful feature is that it will try out a large variety of machine learning algorithms and then compare them. If you're a beginner, it's a good way of getting started because it will point you in the right direction. For example, it will point you towards decision trees or support vector machines, and it will tell you why.

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Buyer's Guide
Predictive Analytics
March 2024
Find out what your peers are saying about RapidMiner, Alteryx, DataRobot and others in Predictive Analytics. Updated: March 2024.
765,386 professionals have used our research since 2012.
MD
Student at IEBS SCHOOL

What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool. Its seamless integration with other tools and visualization platforms, coupled with its capability to create machine learning algorithms and predictive analyses, adds significant value by simplifying tasks and streamlining workflows.

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SW
0 at ChangXin Memory Technologies, Inc.

I've been using a lot of components from the Strategic Extension and Python Extension. These extensions have been very helpful in integrating RapidMiner with my solutions.

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AA
Data Analyst at a tech services company with 1,001-5,000 employees

It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive. 

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it_user719814 - PeerSpot reviewer
Senior Community Manager at a tech vendor with 51-200 employees
  1. Availability of cutting-edge data science tools and algorithms
  2. Ease of code-optional GUI
  3. Open Source Java core
  4. Easy integration with APIs, Python, R, cloud storage, cloud computing, etc.
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LM
Senior Manager at a consultancy with 201-500 employees

We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space. That is something we value and so do our customers in Portugal.

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AL
Professor at Mines Rabat

The best thing about RapidMiner is efficiency.

RapidMiner is very easy to use. You just have to connect operators to launch an analysis state. You read the data with one operator, then filter it with another, and clean it with another. Then, you use an operator for the machine learning algorithms and the results are generated. In contrast, when you are programming in Python you have to write all of the instructions and it takes longer to do.

In the most recent version, they added automation of the cleaning of data, which is a very interesting feature.

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AG
Director Research and Development at Projects Factory
  • No code is necessary, no R and Python skills. 
  • Using the GUI, I can have models and algorithms drag and drop nodes.
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AL
Professor at Mines Rabat

The feature that I like the most is the business of utilization. You just have to connect with an operator to launch an analysis state to read the data. Then, you filter with another operator and clean it with another one. You can also use machine learning algorithms and then it gives you the results.

Compared to when you are programming with Python, where you have to write all of the instructions, this is better because the effort of programming takes more time.

The best part of RapidMiner is efficiency.

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RS
Senior Product Manager at CustomerXps Software

The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.

The features the solution offers are quite extensive. We haven't had a chance to utilize all of them yet. The solution is constantly evolving to continue to be cutting edge.

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DW
President and CEO at a tech services company with 1-10 employees

I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.

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AB
DATA STRATEGY at a tech services company with 51-200 employees

Since the beginning, we had a really nice onboarding experience with RapidMiner.

The solution is fast when it comes to prototyping. The prep and auto model feature is something that people really like. They help you prototype a use case very quickly. The quick prototyping features that are included in the software get everything ready - including the model instructions and all that.

I do see RapidMiner as much more of a data science platform, and not really an art restoration platform. The data science, collaboration, and IDN are very, very strong.

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PS
Pre Post Sales Engineer at a wholesaler/distributor with 10,001+ employees

The most valuable feature is what the product sets out to do, which is extracting information and data. 

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RK
Data Scientist at a wireless company with 51-200 employees

The most valuable features are the Binary classification and Auto Model.

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it_user1025025 - PeerSpot reviewer
Project Engineer at a engineering company with 10,001+ employees

The documentation for this solution is very good, where each operator is explained with how to use it.

There is a very clear structure between building a process and then looking at the results.

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Buyer's Guide
Predictive Analytics
March 2024
Find out what your peers are saying about RapidMiner, Alteryx, DataRobot and others in Predictive Analytics. Updated: March 2024.
765,386 professionals have used our research since 2012.