MATLAB vs. RapidMiner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MATLAB
Score 8.9 out of 10
N/A
MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.
$49
per student license
RapidMiner
Score 8.9 out of 10
N/A
RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.
$7,500
Per User Per Month
Pricing
MATLABRapidMiner
Editions & Modules
Student
$49
per student license
Home
$149
perpetual license
Education
$250
per year
Education
$500
perpetual license
Standard
$860
per year
Standard
2,150
perpetual license
Professional
$7,500.00
Per User Per Month
Enterprise
$15,000.00
Per User Per Month
AI Hub
$54,000.00
Per User Per Month
Offerings
Pricing Offerings
MATLABRapidMiner
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
MATLABRapidMiner
Features
MATLABRapidMiner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
MATLAB
-
Ratings
RapidMiner
9.5
Ratings
13% above category average
Connect to Multiple Data Sources00 Ratings10.00 Ratings
Extend Existing Data Sources00 Ratings10.00 Ratings
Automatic Data Format Detection00 Ratings9.00 Ratings
MDM Integration00 Ratings9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
MATLAB
-
Ratings
RapidMiner
9.0
Ratings
7% above category average
Visualization00 Ratings9.00 Ratings
Interactive Data Analysis00 Ratings9.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
MATLAB
-
Ratings
RapidMiner
8.8
Ratings
8% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.00 Ratings
Data Transformations00 Ratings7.00 Ratings
Data Encryption00 Ratings9.00 Ratings
Built-in Processors00 Ratings10.00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
MATLAB
-
Ratings
RapidMiner
9.0
Ratings
7% above category average
Multiple Model Development Languages and Tools00 Ratings9.00 Ratings
Automated Machine Learning00 Ratings9.00 Ratings
Single platform for multiple model development00 Ratings9.00 Ratings
Self-Service Model Delivery00 Ratings9.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
MATLAB
-
Ratings
RapidMiner
9.0
Ratings
5% above category average
Flexible Model Publishing Options00 Ratings9.00 Ratings
Security, Governance, and Cost Controls00 Ratings9.00 Ratings
Best Alternatives
MATLABRapidMiner
Small Businesses
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Alteryx Platform
Alteryx Platform
Score 8.9 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Dataiku
Dataiku
Score 7.6 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MATLABRapidMiner
Likelihood to Recommend
8.1
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(0 ratings)
Usability
9.9
(0 ratings)
9.0
(0 ratings)
Support Rating
9.5
(0 ratings)
-
(0 ratings)
User Testimonials
MATLABRapidMiner
Likelihood to Recommend
Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!
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RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that. RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)
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Pros
  • Has robust and easy-to-use debugging tools that can help one identify problems in one's codes.
  • Rich, well-developed and efficient library of mathematical and statistical functions that one might need to develop models or perform statistical analysis.
  • A very active online user community that is a great resource in terms of seeking help when you hit a snag.
  • Great help literature (and sometimes videos too) on all tools making it possible for all to train themselves.
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  • RapidMiner Studio offers a superb user interface with an intuitive workflow paradigm that is very easy to learn.
  • RapidMiner Studio’s operators make it a complete and powerful tool for data preprocessing, data visualization, and data mining/analytics.
  • RapidMiner Studio provides excellent documentation, countless worked examples, training and support via a large user community.
  • Every problem is solved using a sequence of operators.
  • Statistical analysis capabilities offered with the T-Test, ANOVA, Grouped ANOVA, and ANOVA Matrix operators.
  • Textual data mining operators.
  • Web-based and cloud computing capabilities.
  • Visualization capabilities.
  • Marketplace Extensions – especially Finance And Economics.
  • Process portability.
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Cons
  • MATLAB should have a full free version (without time limit) in order to be more accessible and thus have a greater user community.
  • The idea of having toolboxes to work directly with hardware (microcontrollers, single-board computers) is great, but one can tell it isn't updated very frequently and there isn't as much documentation available as with more common resources.
  • Our organization had a lot of trouble getting our network licenses to work properly and there wasn't any local service provider that could help us get it to work faster.
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  • Wish the tool was more efficient in terms of processing power. The tool takes a lot of CPU processing power, even for a small process on a small data set
  • Wish there were more options on charts and graphs to visualize the data
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Likelihood to Renew
No answers on this topic
Very fast and user-friendly tool
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Usability
The best thing about MATLAB is the variety of research and development fields it supports. The reason for this rating is that it is best used for medical images enhancement and signal processing, it is also used for speech to text conversion. This tool server is best when the demand is for machine learning.
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Very use to use and learn
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Support Rating
The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.
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No answers on this topic
Alternatives Considered
The commands and coding language of MATLAB reads a lot more in plain English as opposed to all the periods and other special characters that are needed when typing in Python or Java. Additionally MATLAB has several different function packages that can solve all different categories of problems so you don't have to make a bunch of different code scrips from scratch.
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The other product like RapidMiner Studio that I have used is WEKA. I decided to use RapidMiner because almost all modelling methods and feature selection methods from the Weka machine learning library are available within RapidMiner. Furthermore, RapidMiner Studio is a visual workflow and therefore it is easier to demonstrate and visualise the processes involves in getting the desired results. Visualization of workflow enhances teaching and learning. RapidMiner is rich with algorithms and online learning materials that can assist students in their self-directed learning on data preparation, machine learning, deep learning, text mining, and predictive analytics. Moreover, RapidMiner repository has more than 1500 machine learning algorithms and functions that students can explore for any case study and assignments. The RapidMIner is also an open platform that can seamlessly integrates with other applications programmed with other programming languages like R and Python.
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Return on Investment
  • MATLAB has made me a better coder. I can see the code behind inbuilt functions which helps me improve my own coding.
  • The various features offered in the software helped me to understand new topics in a relatively short span of time.
  • MATLAB has a rich forum and library which allows exchange of ideas and info with other users. This has certainly broadened my horizon.
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  • We saved over $100k on our direct mail program by not mailing to those unlikely to respond to our mailings based on our predictive analysis.
  • Our CX team has saved countless hours by automating call scripts to isolate key phrases and code each call.
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