



RapidMiner model validation screenshot




Supported Operating System(s):
Windows 7, Windows Vista, Windows XP, Web browser (OS agnostic), Windows 2000, Windows 8, Windows 10About RapidMiner
RapidMiner is a cloud-based and on-premise data science solution, which helps small to large organizations access, load and analyze structured and unstructured data. Key features include process automation, model validation, data connection, and blending.
The application comes with a visual drag-and-drop tool and machine learning library, which enables developers to create and deploy predictive models. Programmers can use the data cleansing functionality to visualize the performance/stability of datasets and remove low-quality data. Additionally, the solution helps users identify data problems such as correlations, missing values and more.
RapidMiner includes a scoring feature which allows analysts to detect manufacturing defects in models...
RapidMiner model validation screenshot
Supported Operating System(s):
Windows 7, Windows Vista, Windows XP, Web browser (OS agnostic), Windows 2000, Windows 8, Windows 10Average User Ratings
Overall
Ease-of-use
4.5
Value for money
4.0
Customer support
4.5
Functionality
4.5
Likelihood to Recommend
Not likely
Very likely
August 2018
Rashid from Introductory Chemistry, Worcester Polytechnic Institute
Time Used: More than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
3.0
August 2018
Great tool for data analytics!
Great data analytic and visualization tool!
Pros
No coding skills needed! Rapidminer is a GUI tool that you can connect boxes on a canvas to conduct data anlysis, this serves as a great introduction to data analytics. Free for students! You can get a provisional liscence with a dot edu account. This is a great perk of the software. Data analytics and data visualization tools are available within the software with a plethora of other features!
Cons
Very buggy! The software tends to crash often, this is especially more common with things such as neural networks etc. Limitations of some versions! Even with the student version there is a limit of 10,000 rows of output, so if you are trying to do analysis on a 12,000 point data set , 2000 points will randomly be omitted.
June 2019
Maynard John from De La Salle University
Company Size: 1 employee
Industry: Research
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
4.0
Functionality
5.0
June 2019
The data scientist's swiss knife: Fast and Easy Machine Learning through RapidMiner Studio
Overall my experience with using RapidMiner was great. It allowed me to rapidly try out different machine learning models and compare each result with one another. It also allowed me to conveniently address my workflow without having to write code. It is a great tool for students and people without a strong programming background. Its well documented functions and strong community addresses what ever questions I had with the processes.
Pros
One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. This is on top of having to analyze and learn complex algorithms needed for the task. This can be a time consuming problem, especially for those who are not adept at programming. However, this is now a thing of the past because of RapidMiner Studio. This is because RapidMiner features are drag and drop visual interface which makes all the difference. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether. RapidMiner Studio also has most of the machine learning models used in the academe and the industry. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this. RapidMiner is also well documented. Each of the processes has their description, input, output, and parameters well described. Tutorial videos as well as blogs are available on their website. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question.
Cons
What I found to be very inconvenient is that the application crashes at times. This may be a problem limited to my own machine. Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be because the application is running on Java (VM). This may not be a problem for people with a higher spec machine. I also found that the application lacks collaboration features which may be something that they could improve on in the future.
March 2019
Ambreen from pafkiet
Company Size: 201-500 employees
Industry: Computer Software
Time Used: Less than 12 months
Review Source: Capterra
Ease-of-use
2.0
Functionality
3.0
March 2019
Userfriendly Interface for ETL
It's a good platform while applying predictive analytics on any dataset with a user friendly interface to have the true picture of the future.
Pros
Visual workflow designer is the best part for predictive analytics. I really like drag n drop interface for generating models. Prebuilt templates are quite useful.
Cons
It's not always free. You need to purchase it if you wana work with more than 10000 rows. Its processing becomes too slow (almost hangs) while working with terabyte or petabyte of data. Sometimes, it becomes difficult to handle hundreds of models available.
September 2020
Devon from Utah state university
Company Size: 11-50 employees
Industry: Accounting
Time Used: Less than 6 months
Review Source: Capterra
Ease-of-use
3.0
Functionality
5.0
September 2020
Stat crunch is a great data analysis software
I was impressed with the software and loved learning the data analysis tools that it offers.
Pros
The capabilities that this software offers are amazing. It is a great application for data analysis and statistical analysis.
Cons
The learning curve is steep and you are much more likely to learn this software if you follow tutorials or a guided lecture.
February 2020
Roberto from Cloudwork Orange
Company Size: 2-10 employees
Industry: Telecommunications
Time Used: Less than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
4.0
Functionality
5.0
February 2020
I never had guessed that Data Science software was so easy
As being an old time user of data mining project using open programming languages, I found extremely useful all the features of Rapid Miner. Form preparing the data, creating predictive models and potting them in a visualized presentation.
Pros
The easiness of use, the support team, the video tutorials of the company, the career certification program, the visualization module has been upgraded, the integration capabilities to R, Python and Hadoop.
Cons
Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner.
Reasons for Switching to RapidMiner
So much easy to use