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RapidMiner

4.5
(161)

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.

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RapidMiner review by YC L.
YC L.
Validated Reviewer
Verified Current User
Review Source
Business partner of the vendor or vendor's competitor, not included in G2 Crowd scores.

"Navigate through Journey of Hypotheses"

What do you like best?

Corporate leaders, at various managerial levels, have been challenged by fears that any day soon, a competitor of inferior technical capacity would jump ahead from behind. They were amazed at the fast and easy practice when we demonstrated the RapidMiner platform. Some of them have also suffered from ill-fated projects in the past, perfectly aware of the negative impact due to slow, error-prone, and delayed data preparation, model training, and deployment. Understanding its advantages, they too realized that others can easily outrun them quickly with RapidMiner.

What do you dislike?

Granted, companies are looking for vertical solutions aiming directly at their specific applications while RapidMiner, albeit powerful, is a platform. In addition to current communication by RapidMiner and the enthusiastic community, efforts must be spent by both sides, the customers and the solution providers like us, to practice, solve problems, and build up confidence so that gaps can be bridged.

Recommendations to others considering the product

It is rather idealistic to wish for a vertical solutions aiming directly at specific applications. You may have concerns that RapidMiner looks powerful but is still a few steps short. You are not alone but others have used RapidMiner to complete data science projects in weeks if not in days. With patience and determination to become a good problem solver, RapidMIner will bring you far ahead of competitors in a short period of time.

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

Data science is after all an art of problem solving. We have encountered problems such as, in predicting disgruntled customer, “can we generate some statistics for the past calls that belong to the same customer of the incoming call?” and, in predicting the lab-generated quality measure in a chemical plant, “can we shift each and every dependent variable according to their respective time lags?” Yes, RapidMiner can support them and thus incorporate the steps in a RapidMiner process. Such problems are however slightly beyond the basic practice of RapidMiner.

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RapidMiner review by Cristian Dario O.
Cristian Dario O.
Validated Reviewer
Verified Current User
Review Source

"Rápido, e intuitivo, tanto para expertos como para principiantes..."

What do you like best?

Entorno de trabajo cómodo, e intuitivo, con ayuda durante el desarrollo del proceso

Actualizaciones apropiadas, con mejoras, como la posibilidad de automodelización

Cantidad de algoritmos para modelar, agrupados por características...

Buenos gráficos, y opciones para visualizar el resultado del proceso...

Facilidad de parametrizar los diferentes algoritmos...

Visualización del proceso de minería de datos....

El contenido de la ayuda es apropiada....

What do you dislike?

Pocas opciones en los gráficos de tres dimensiones, como por ejemplo, el tamaño de los puntos, que son pequeños, si fueran mas grandes se podrían visualizar mejor...

Me gustaría que los gráficos en tres dimensiones se puedan mover sobre sus ejes automáticamente, durante un lapso de por ejemplo, cinco segundos, y poder grabar la secuencia para exportarla a un documento, como si fuera un video, que permita ver por ejemplo, la composición de los clusters...

Me gustaría la versión en castellano, para comprender mejor el contenido de la ayuda...

Estaría bueno que la versión educacional se pueda extender a los alumnos y los profesores, y poder realizar minería de datos en equipo de trabajo, tal como en un curso, o en una materia de posgrado o doctorado, con mejores opciones de almacenamiento en la nube.

Recommendations to others considering the product

Me gustaría que este en castellano

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

Estoy usando la aplicación para estudiar los algoritmos, base para mi tesis doctoral de Ciencias Económicas, mención Contable. En principio me interesan los modelos para detectar fraude, y poder minar datos en Informes Financieros, o dataset impositivos.

What Predictive Analytics solution do you use?

Thanks for letting us know!
RapidMiner review by Vladimir M.
Vladimir M.
Validated Reviewer
Verified Current User
Review Source
Business partner of the vendor or vendor's competitor, not included in G2 Crowd scores.

"Endless capabilities both for novices and experts"

What do you like best?

- Intuitive interface, robust software operation

- Almost every imaginable data input format is supported

- Constant development and adding new features, big and small. Super fast bug fixes.

- Huge coverage of all possible machine learning algorithms, I think ~98% of all imaginable data science use cases can be covered with RapidMiner only

- Scalability and deployment capabilities: from studio to server to deployed models in very short time.

- Super quality of educational materials provided, adding new materials all the time

- Very thorough documentation on product capabilities and features

- Responsive and active community always willing to help

What do you dislike?

- Poor graphic plotting possibilities, very little option to configure plots

- Not all runtime error messages are intuitive enough

- Process and repository handling could have used more transparent versioning control

Recommendations to others considering the product

Don't expect 'magic': you still have to understand basics of machine learning, as well as spend some time learning how to use the software efficiently. If possible, RM training course is highly recommended. Once this is done, you'll experience full benefits of this great product.

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

- Fraud detection modelling

- Customers segmentation

- Text analytics

- Data mining

Main benefit is the speed of at least building prototypes - you can get a model ready in some 30 minutes, including all the data preparations.

RapidMiner review by Betsy C.
Betsy C.
Validated Reviewer
Verified Current User
Review Source

"Great tool for Institutional Research (in higher ed)"

What do you like best?

I deal with messy data from many sources. I need a tool that helps me pull together and utilize data in this kind of environment as efficiently as possible. The company seems to be very responsive to customer needs and keeps adding functionality that is practical for the user. I'm really impressed with the interface as well.

What do you dislike?

It's a little difficult to share RapidMiner files/processes with the other staff member in my office. Our budget will never allow for a full on server type sharing product. So I guess I feel like RapidMiner's products are heavily geared towards corporate uses, and sort of fail to meet the needs of small, education, and non profit organizations. Everyone has data management needs in the modern world; but lots of organizations aren't about using data for generating profit. We need tools too.

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

I especially love RapidMiner for the data cleaning and preparation processes that I have to repeat either annually or each semester (I work at a college). I also often use RapidMiner to validate my data or look for potential errors.

RapidMiner review by Jerzy G.
Jerzy G.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner Studio: intuitive and self-explanatory tool for machine learning"

What do you like best?

- The graphical modelling workflow: it's not only easy to design and build a machine learning model, but, even more importantly, to explain it to internal customers (your boss, your colleague, end user, factory staff, you name it).

- The Automodel feature: it is enormously handy in setting up a quick data analysis. It guides the user from the begin till the end. It provides very useful metrics about the imported data, and builds a couple of pre-defined models for you.

What do you dislike?

- The plotting and visualization is really crude. The customization of the graphs is hardly possible. Exporting the graphs (to PowerPoint for example) is (afaik) not trivial - I had to use screen clipping for the lack of a better alternative.

- Apparently there is no tool for exploratory data analysis.

- The execution of complex workflows is serial, even though there are obvious parallelization opportunities.

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

I used RapidMiner for prototyping machine learning workflows. For me, it shortened the time needed for setting up a decent ML predictive model from ~2 days to half a day. This includes evaluating several model prototypes and getting the insights what model would work best with my data.

RapidMiner review by Sheetal S.
Sheetal S.
Validated Reviewer
Verified Current User
Review Source
Business partner of the vendor or vendor's competitor, not included in G2 Crowd scores.

"Lightning Fast"

What do you like best?

NO BLACK BOX concept. I have used other data science tools, but my concern was how these tools determine optimal values for algorithm and what are these value. But in RapidMiner I can self tweak and automatically optimize the parameter values as well. This is just one of the many benefits I had from No Black Box concept.

Intuitive GUI is another USP of RapidMiner Studio for beginners and experts. It has a help section with detailed documentation and quick tutorials which is very informative to know the logic behind every operator. I have learnt a lot of concepts from there.

What do you dislike?

RapidMiner Server needs to be redesign and more dynamic functionalities can be added in Web App.

RapidMiner Studio should have multi-process tab and github integration(just a suggestion).

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

I have been solving diverse problems using RapidMiner. I've tried algorithms on clustering, anomaly and outlier detection, classification, regression, keras, Text Mining (I've explored Rosette, Aylien text, meaningclous, edda etc). I have also been using RapidMiner for ETL jobs.

In terms of benefits, it has reduced my development time by many folds. Coding the same jobs in python used to take so long and then deploying it into production was again a challenge.

But RapidMiner is super easy to build solutions from end to end.

RapidMiner review by Ricardo Q.
Ricardo Q.
Validated Reviewer
Verified Current User
Review Source

"Sophisticated, powerful and non-demanding"

What do you like best?

I have a two-core i3 that I run RapidMiner on. I don't work with millions of data but I do teach. The software is stable to any query you may have and only consumes the necessary resources. That means that your code is designed only to cover my query and has no "hidden" routines that are consuming my CPU or memory.

The community behind Rapidminer is a guarantee that no matter what problem you get into, you will find help and a possible solution.

Plugins help me to experiment with different approaches to address a problem, so for research, RapidMiner is a very useful toolbox.

Without much effort I have obtained an education account and this has allowed me to use more data than I used initially.

What do you dislike?

While the interface is intuitive (it reminds me of the psychomotor process used in the MIT Scratch application), the learning curve is pronounced. I've been using this tool for a couple of years now, and I still don't feel safe teaching my students about RapidMiner.

The problem is that there is no documentation in Spanish and only a few videos in my language. The problem is not the amount of material, but the depth of the content. Learning the basics of Rapidminer is easy, finding the details of how to use the plugin parameters is difficult, even in the English material.

I would like the community to meet in a VBulletin-type forum, the current tool is not professional enough.

RapidMiner scripting through Python is simpler than the R programming language, although the programming is still complex (I am a programmer).

Recommendations to others considering the product

Useful for data recovery, processing and analysis. Ideal for entering the world of Data Science. Useful for those who do Text or Data Mining.

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

The professionals who come to my class come with needs to acquire skills in structuring, processing and analyzing financial data. Excel or PowerBI are not enough for some of the problems being addressed.

Some of them arrive with some queries that they can't make in IBM SAP or find very complicated in that tool.

In the Business Intelligence Diploma, when we have to talk about Data Mining, I give them guidelines to enter the world of RapidMiner.

RapidMiner review by Dr. Gernot H.
Dr. Gernot H.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner Studio"

What do you like best?

The graphical user interface is very intuitive and RapidMiner is very easy to start with.

It offers good and meaningful default values for beginners in every operator.

Since you are able to see what you are doing, it is quite easy for beginners to understand

the science behind.

The computation speed is really fine even on notebooks (when trying out to sketch a new process).

What do you dislike?

RapidStudio charts are looking a bit old fashioned and simple (compared to BI solutions such as PowerBI or Tableau).

Configuration of axes and labelling formats is not possible in the simple charting modes and the complex charts are not easy to configure.

Recommendations to others considering the product

You will be able to get data easily into RapidMiner as well as first useful results.

The RapidMiner Book is great and offers a good starting point for analysing with RapidMiner.

In combination with a other books (such as "Data Mining for the masses" from Matthew North as well as

"Predictive Analytics and Data Mining" from Deshpande and Kotu), soon you will know enough to help yourself and tackle every data problem.

I adore Ingos youtube channel and he has got talent explaining things easy.

That's a real valuable ressource for Data Scientists and students alike.

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

Since I am teaching, I am trying to cover everything from clustering, classification,

association rule mining and regression. Some of my students have used RapidMiner Studio for Text Mining purposes as well and where obtaining good results (within their thesis e.g.).

RapidMiner review by Nicolò S.
Nicolò S.
Validated Reviewer
Verified Current User
Review Source

"An intuitive, complete, ready to use Data Science solution with Machine Learning algorithms"

What do you like best?

The UI is very intuitive, it's easy to play around with advanced machine learning algorithms with the simplicity of a drag and drop, flow-based interface.

It's easy to integrate RapidMiner with and ETL process, as it can connects to several DBMS and also Cloud Storage services, and it is also easy to integrate it with BI Tools, as it can output data to DBs or even expose data through webservices (OData) by using Rapid Miner Server.

One of thing I liked the most is the impressive quantity and quality of the documentation, that can be found both inside the application and in the website. It's not just a getting started documentation, it really delves into the details of each algorithms and gives you a non negligible free know-how; there is also a considerable number of tutorials and examples directly accessible from the documentation items. On top of that, there is a very effective series of video training available on the website, which guides you through implementing the major steps of a Data Analysis solution.

What do you dislike?

The RapidStudio Server UI it's a bit old fashioned.

Recommendations to others considering the product

It has a very good customer support and they offer free webinars on how to use the application.

Ingo, the company founder, also has a YouTube channel where he effectively explains the basic idea behind the most important ML algorithms and why to use them.

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

I'm trying several techniques for outliers detection, machine learning algorithms offers several way to do that and RapidMiner is an easy and ready to use solution that implements those algorithms.

RapidMiner review by Manuel K.
Manuel K.
Validated Reviewer
Verified Current User
Review Source

"Rapidminer fits exactly the needs for an fast and flexible Predicitve Analytics Solution"

What do you like best?

The simple useage and the possibility to learn all necessary aspects in a short amount of time so you can do professional data science very fast and easy. The frontend shows all essential parts on one view and you can customize the view exactly to your needs to support your personal preferences while working. The flexible design of a process throgh the Operators that are exactly described right within the Software and even linked to a use case showing the function of each Operator.

What do you dislike?

The large amount of RAM used to handle large datasets (e.g. to join them) and no possibility (i know) to have an alternative to work around this Problem and the vizualisation engine feels a bit slow slow sometimes when handling large datasets.

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

I use Rapidminer to do Predictive Analytics processes as well as Research with Text Mining proceses in the area of Marketing and Sales. I get a lot of additional insights to use and have a scoring for potential customers to evaluate the best possible customers on the market.

RapidMiner review by Michael G.
Michael G.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner - An Agile Solution for Machine Learning Based Problem Solving"

What do you like best?

RapidMiner is a comprehensive and intuitive structure for managing end-to-end machine learning problems. Data can be easily aggregated from multiple sources and prepared thru standard reusable operators and processes. Applying multiple methods to gain insights into useful patterns is easily performed\learned in a short time without having to master Python, R, and other frameworks.

What do you dislike?

It'd be helpful to provide more transparency in the underlying "math" for those wanting to learn how calculations are performed. Some of this is easy to get to, but some of the methods provide results without the ability to drill into the underlying calculations. Maybe there could be links to open resources like Coursera, Khan Academy, MIT, etc. where excellent examples beyond the RapidMiner documentation and tutorials are provided.

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

We're using RapidMiner to measure the susceptibility of infrastructure failure (water systems, energy, roads, etc.)

RapidMiner review by Georges V.
Georges V.
Validated Reviewer
Verified Current User
Review Source

"It's fast, It's easy to use and above all it is a great tool to learn proper data analysis."

What do you like best?

Modular construction of a model. Taking it one action at the time, that way you do not have to redo the whole module. It is also a lot easier to find where you need to make a change.

What do you dislike?

I cannot think of anything I dislike about Rapidminer at the moment.

Recommendations to others considering the product

If you are serious about Data Analysis, then you need to try Rapidminer. I introduce Rapidminer to all my Lean Six Sigma Green Belts and Black Belts, and everyone of them has indicated that they were seriously impressed.

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

In the past I used SPSS modeler, but since IBM has bought this software I have lost track. Rapidminer uses similar modular methods and I am still in the process of becoming more familiar with it all, but it definitely has a lot better educational support.

RapidMiner review by Hong Z.
Hong Z.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner, an easy to use but powerful data mining tool"

What do you like best?

RapidMiner is very easy to use. With a little bit tutorial, a beginner can quickly start learning data mining by using RapidMiner. This tool is written in Java, which means that it can work on any platforms. Its basic version is free, and for education purpose the fully function version is available for free, too. I adopt this tool as a major data mining tool in my Introduction to Data Mining course. It is best for students with little data mining knowledge.

In addition, the documentation is great. Users can read documents on the right-bottom when an operator is selected. This makes it so handy to learn the details about an operator

What do you dislike?

So far I do not have anything that I dislike.

Recommendations to others considering the product

this is a great software that I would recommend.

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

1. using as a major tool for teaching students.

2. I also begin to use it for my own data mining research

RapidMiner review by Mark P.
Mark P.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner; A Career Starter and a Problem Solver"

What do you like best?

RapidMiner allows you to utilize the discoveries of the statistical/mathematical/programming communities with little prior knowledge of theory and no experience with coding. The RapidMiner community provides educational videos as well as face-to-face workshops and webinars. On top of that, there are tutorials in product that help new users adjust quickly to the program and to the field.

What do you dislike?

The company promotes education at its own expense and is doing great work for the business/data science communities. Some webinars/videos that they provide are business orientated while some are theory leaning. The only thing that I dislike is the amount of videos (there are hundreds) to watch and so little time to do so.

Recommendations to others considering the product

Try it out for yourself, it's free! The tutorials take less than a few minutes and you'll catch on quickly, I guarantee it!

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

Programming is allows flexibility at the cost of time. RapidMiner saves that time spent configuring code and allows you to link other languages such as R to restore that flexibility.

RapidMiner review by Katharina M.
Katharina M.
Validated Reviewer
Verified Current User
Review Source

"Best Data Science"

What do you like best?

Complex analyses of complex data is made simple in a drag&drop style, presented in layers of abstraction and well documented in understandable terms. This makes an analysis reproducible and easily transferable to another application. In contrast to scripts that cannot be used without its developer, RapidMiner processes are at hand to everybody, instantly.

What do you dislike?

It may happen that you are not so happy with the version that is not for cloud computing. Ok, buy the one with Radoop and all support!

Recommendations to others considering the product

Try the introductory case processes and play! When going productive, book training and consulting by RapidMiner to gain the full benefit.

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

Resource saving in production processes is a large field ranging from anomaly detection based on time series over quality prediction based on sensor/machine data from the production process and finally to prescriptive analysis which controls the production through multi objective optimisation.

RapidMiner review by Ales J.
Ales J.
Validated Reviewer
Review Source

"RapidMiner as a principal ML education tool"

What do you like best?

We use the Rapid Miner software as a principal software tool in the educational process of future MSc. degree graduates in Control Engineering, courses in Artificial intelligence. The aspects we appreciate most are:

- Availability of educational version on 1-year basis

- A wide range of provided methods

- Ease and real rapidity of the use (worthwhile of the tool name)

- Permanent software development

- Good acceptance from the side of higher-education students

- Good and rapid communication with provider representatives

What do you dislike?

I do not have anything special to dislike. The only thing (just to say something) - when moving from older to newer versions, change of the names of operator grouping have caused some confusions to me. However, maybe an idea for future how to help future customers: in many times unexperinced user may be desoriented by amount of available methods - what about providing an in-built questionaire-like knowledge-based system that would recommend a particular method (or a group of methods) proper for the given problem ... based on questions like: format of input data (numeric, nominal, both), label type (numeric, polynomial, binominal), missing data (yes,no), type of problem (classification, regression, rules), output model (cluster, centroid, hierarchical, prototypes,...)?

Recommendations to others considering the product

Just try and you will see.

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

At the moment the tool is used to prepare (educate) future IT professionals (in future mostly employed in electrical engineering industry) - data transformations, classification and regression problems, etc.

RapidMiner review by User in Utilities
User in Utilities
Validated Reviewer
Verified Current User
Review Source

"Using RapidMiner for about a year, and it has definitely added value."

What do you like best?

Definitely the ease of use. The interface makes it very approachable to people without a technical background. Have drop downs/set options for operators is a lot better than digging through code documentation.

What do you dislike?

As with all software, there are still a few bugs (but the support team moves to address them quickly). I do miss using find-replace within my R and SAS code for quickly changing processes to a new problem. I find that I have to go into several operators to fix things in them. Ultimately, de-bugging can take some time. Also, I am still highly reliant on RapidMiner support since the user community is a little smaller than something like R.

Recommendations to others considering the product

Build out an in-house training program with tiered internal support.

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

Right now we are using the text mining and similarity operators to identify duplicate or near duplicate database records. Also, we are doing time series prediction for daily call volumes in our call center (but another group is working on that) Also using it for process improvement, shifting manual queries from databases and excel into a single workflow.

RapidMiner review by Le H.
Le H.
Validated Reviewer
Verified Current User
Review Source

"Simple but very Strong"

What do you like best?

GUI is easy to use. Unlimited data size. Speed is very fast. and the most thing I like is the support. License came quickly after I fill in the form. And I can use a free education version in 1 year. That help me so much

What do you dislike?

I don't any thing to dislike. But I hope it can improve speed more.

Recommendations to others considering the product

That is very good for data mining. Although I am a newbie and I don't use all of tool of rapid miner, it is still perfect, atleast i think.

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

I use RapidMiner to train Self-organizing map for my research. That is a machine learning method in drug discovery. It help me reduce the size of my data, and i can find compounds which is similar to my active compounds.

RapidMiner review by Delano L.
Delano L.
Validated Reviewer
Verified Current User
Review Source

"Focus on the development of analyzes that generate results."

What do you like best?

Rapidminer allows you to build a rationale fluidly. The way the tool was designed makes the whole focus on building powerful analytical models without worrying about specific points. As you build an analytical model and are faced with the need to perform some transformation or correction, you'll find the right operator on RapidMiner to solve the problem. It's amazing how Rapidminer keeps its efforts in the right spot, without going through the technical implementation line that is time consuming and without allowing you to develop a simple and wrong model. The flow of the tool causes an immersion in understanding aspects of each operator used and give you security of the model that was created. All this with a good performance for large databases. For me, working with market intelligence is perfect, keeping my focus on finding the best results. At the same time that you use RapidMiner, you develop a learning cycle that transcends the tool and goes into questions about how the various algorithms work. You are asking the right questions and increasing your power of understanding.

What do you dislike?

Although it does not seem to be one of its focuses, it would be interesting if RapidMiner had more options for visualizing data and that in some way facilitated the construction of reports, without the need of other tools, such as Excel or Tableau.

Recommendations to others considering the product

A great tool.

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

I have mainly used for the construction of analytical models focused on analysis of unstructured data, mainly of social media. I have currently used RapidMiner to analyze sales data and other quantitative data, such as demand forecast data.

RapidMiner review by Taz M.
Taz M.
Validated Reviewer
Verified Current User
Review Source

"Great tool that keeps getting better."

What do you like best?

I have used this tool since I started data analytics in college and found it relatively intuitive to use even with little mining/ analytics experience. I like the speed at which I can build processes- and the ease at which I can test and change out elements. I also like the five minutes with Ingo series!

What do you dislike?

Occasionally the documentation can get a little difficult to understand.

Recommendations to others considering the product

Versatile tool that goes beyond basic etl and is constantly improving

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

Churn models. Text Mining. Sentiment Analysis. Data cleaning.

Always amazed at the speed at which data can be tamed and turned into insight. Sometimes there are hiccups and it takes longer. Most of the time, however, reporting the findings takes the bulk of the day.

RapidMiner review by Hossam H.
Hossam H.
Validated Reviewer
Verified Current User
Review Source

"A very robust Data Science platform addresses all CRISP-DM requirement."

What do you like best?

Rapidminer is one of those tools that delivers a wide range of Data Science capabilities. If you are savvy with your data and conceptual understanding of the field you will immediately appreciate the abstraction layer that provides a wide range of tasks across the CRISP-DM lifecycle. It is a great tool that accelerates tackling the Data Science questions at hand fast. One of the greatest features is the Auto Model feature. It helps with assessing a whole bunch of algorithms (including Deep Learning) versus a given data set at once. Which enables users to best decide beforehand which algorithm would be the best answer to for their questions.

The addition within the new version of the turbo data preparation also transforms a lot within the CRISP-DM development lifecycle. It literally saves 80% of the time wasted on preparing the data through many running both PCA and normalization. The tool also addresses the problems of multicollinearity and missing value imputation usually diminishes the performance of the models.

Quite a complete Data Science tool !

What do you dislike?

Visual graphs from the different algorithms within the tool

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

Artificial Intelligence research work

RapidMiner review by Marko M.
Marko M.
Validated Reviewer
Verified Current User
Review Source

"Motivates students to learn machine learning"

What do you like best?

I like intuitive user interface. Because of it, novice users quickly get a grip on basic machine learning steps. A lot of time spent when performing a machine learning task is usually spent with data pre-processing and trying to understand, what data means. Rapidminer offers a plethora of possibilities to import the data from various sources and formats, as well as some really powerful data visualization tools. All major ML models are also included. It is also very nice to have free academic licence available - for students and instructors. Academic licence is easily and quickly obtainable and the process does not require lengthy bureaucratic procedure.

What do you dislike?

I personally dislike that some metrics for performance of the models are missing. I have been unable to find adjusted R squared parameter for evaluation of multiple linear regression models. I could also benefit from additional metrics for feature relevance. For example i could benefit from standardized multiple linear regression coefficients.

Recommendations to others considering the product

Look at their tutorials. They provide quick start into machine learning.

If you are entitled for academic licence - it is free. When you will need it to support a business case, in my opinion the licence price is reasonable.

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

I am using Rapidminer in lab classes. I am also using it to rapidly test and evaluate research related ideas.

RapidMiner review by Gopala Krishna M.
Gopala Krishna M.
Validated Reviewer
Verified Current User
Review Source

"Easy to use the product and implement the data science solutions"

What do you like best?

Rapid Miner is self explanatory and very easy to use tool. Following the videos on the website is enough. Once we started using the tool, the vendor has reached out to us to know if we are facing any issues and helped in understanding the tool. We were able to use the tool for data cleaning, data analysis, data modeling.

What do you dislike?

Rapid miner do not have wide variety of options to visualize the data as charts and graphs. I would like to see more graph options included.

Recommendations to others considering the product

We used the tool on smaller data sets. Try the tool with larger data sets to see the performance.

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

We are trying to use the tool to study the churning, performance and clustering of clients. The studies resulted in lot of insights which we can use.

RapidMiner review by Rajnish P.
Rajnish P.
Validated Reviewer
Review Source

"RapidMiner Studio Review"

What do you like best?

RapidMiner is a predictive data analytics software but also offers capabilities such as AI/ML program. Functionally, it provides thet same capability as using programming languages, but utilizing a graphical user interface to develop process models. This utilizes "parameterized" process blocks, the same as if they were programmed.

RapidMiner has a community edition for 10,000 rows of data to process for free on the desktop. Advanced paid editions are capable of automated process generation, and installation into cloud environments such as Amazon Web Services. The Server edition enables the process automation. There is a marketplace that allows you to add extensions to the baseline package.

RapidMiner is a great way to get into concepts such as natural language processing, time series data analysis, web mining, k-means analysis, data clustering, recommendation generation and other capabilities. It also has native support for R and Python, as well as their libraries.

What do you dislike?

Any tool in the AI/ML space will require learning of the concepts and how they are are applied in a computational tool. This means learning about vector and matrix math, and general statistical capabilities to be productive sooner.

I would recommend learning about the AI/ML concepts from places such as Coursera or Udemy. Then to RapidMiner's site and YouTube channel to learn in greater detail, as well as the mechanics and operations of RapidMiner itself.

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

We will be using RapidMiner for natural language processing in healthcare, 2D graphical brain maps, analysis of billing fraud, and reduction of errors in medical coding.

RapidMiner review by Lorenzo B.
Lorenzo B.
Validated Reviewer
Review Source

"it's rocket science, isn't it?"

What do you like best?

when it comes to science, you need to keep it on track with a rigorous framework , even though you are offering an easy to use platform. They actually deliver. The UI is intuitive, which is a plus for the user, but still there is not compromise on the fact that users have to know the how, what and why of their research, analysis or mining.

There are plenty of information, tutorials and resources (videos on youtube, for example).

What do you dislike?

quick and easy: pricing system, which unfortunately is a common feature with so many platform out there.

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

so far, I have experience with a peculiar extension, related to process mining. Clients directly won't get it, but this extension let you perform several analysis reducing mistakes and delivering reliable insights (if you design them in the right way).

Even though it is not my primary tool, I would recommend to spend time on it.

RapidMiner review by Stefan E.
Stefan E.
Validated Reviewer
Review Source

"Easy access to the world of predictive analytics"

What do you like best?

RM provides an easy access to the world of predictive analytics. In my view, it is as useful for that purpose as - say - MS Access for SQL databases, i.e. it makes advanced tools accessible to a wider public by means of an easy to use GUI.

What do you dislike?

As a rule, RM communicates with a cloud. This is a very undesired feature when it comes to professional use and adherence to corporate standards. I have tried several times to discuss the issue with RM's customer support, but there seems to be no good understanding how to savely use RM locally (i.e. without an internet connection) in a way that is complient with corporate standards regarding IT/data security. This is very sad since it limits the professional use of RM to a design phase, while for production you still have to do the implementation in Python or the like.

Recommendations to others considering the product

Must try!

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

Any sort of data analysis using supervised and unsupervised learning algorithms, typically on numerical data (no text mining).

RapidMiner review by Sutanu M.
Sutanu M.
Validated Reviewer
Verified Current User
Review Source

"Flexible and handy tool for analytics and machine learning"

What do you like best?

The design of the tool and associated tutorials that guide the first time users and learners to start analytics and machine learning first by scratching the surface and then slowly drill deeper. The design that centers around use of operatives, categorized into different sets like Data Cleansing to Predictive Analytics provide a visual guide to learners about the steps necessary in building models.

What do you dislike?

Nothing much. RapidMiner need to expand and include more operatives like say statistical tests to test stability or normality. Often statistical tests form important part in model building.

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

Generally in survey analysis. RapidMiner helps in surveys in classification of respondents based on profiles and specificity in responses.

RapidMiner review by Dylan M.
Dylan M.
Validated Reviewer
Verified Current User
Review Source

"Great, easy-to-use tool for learning analytics"

What do you like best?

As a person who has taught myself analytics (and continues to do so), what I appreciate most about RapidMiner Studio is the embedded tutorials.

What do you dislike?

In 7.xxx, I did not like the UI so much. Now, in version 8.xxx, the UI is a bit nicer. Still, the windows such as a parameters and operators can be hard to scale and position on smaller screens (such as my main notebook) though they display well on external monitors.

Recommendations to others considering the product

Give it a try, especially if you are a beginner!

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

Right now getting a foothold in predictive analytics--I am gaining skills that I plan to apply to an upcoming e-commerce website project.

RapidMiner review by Mohd Zakree A.
Mohd Zakree A.
Validated Reviewer
Verified Current User
Review Source

"Easiest to use, the best for data science student"

What do you like best?

It is a visual programming based software that is easy to learn, easy to use, intuitively help users to understand and focus on the process and results rather than thinking on coding. Of course we can't run away from tuning the parameter but it just make your task simpler. Furthermore, the features of RapidMiner can be significantly enhanced with other add-ons, many of which are also available for free.

What do you dislike?

It is not intelligent enough to detect unwanted or hidden character in the dataset. Sometimes RapidMIner can't detect that the input is a date but recognize it as nominal. I wish in the near future, RapidMiner will add additional intelligent sensing especially when the data comes from legacy database systems, or even Excel. I hope most of the powerful add-ons by third party companies will make it free for education purposes.

Recommendations to others considering the product

I have been considering other tool for teaching, but one of the factor I use RapidMiner in teaching is their program for education. You don't feel like you're begging for 'free lunches'. The support staff are friendly and their response time to our needs are pretty awesome. That was my experience. Try it. Nothing to lose.

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

I use Rapidminer to teach undergrad and postgraduate students on data mining, decision support and many kind of analytics such as descriptive, diagnostics, predictive and semantics. I think my students can grab the concept of analytics faster than other tools that I have been using for a while.

RapidMiner review by Klaus H.
Klaus H.
Validated Reviewer
Verified Current User
Review Source

"Easy access to data mining for people without programming experience"

What do you like best?

The user interface makes it very easy to tell the machine what to do. So even people without programming experience can set up data mining tasks. There is much support like videos, tutorials, documentation and a huge user community. With just a bit of instruction at the beginning you can gain fast progress.

What do you dislike?

Almost nothing. Very special problems could be solved more directly in Python.

Recommendations to others considering the product

It's easy to start. So just try it.

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

We are doing natural language processing. RapidMiner helped us to set up and test a variety of text mining approaches.

RapidMiner review by Hannes F.
Hannes F.
Validated Reviewer
Review Source

"Academic user"

What do you like best?

- Intuitive interface

- Data input very intuitive and easy

- Most machine learning algoritms are there, don't need to look for others

- Good documentation with tons of examples on product capabilities and features

- Responsive and active community always willing to help

What do you dislike?

- Poor graphic plotting possibilities, very little option to configure plots

- Once you leave the platform, all graphs you generated are gone, have to recreate them.

Recommendations to others considering the product

If you wan't to quickly learn how to machine learning works, this is the tool for you, you don't need any deep knowledge in the field. My recommendation is to start with Gradient Boosted Algoritms, since they are very robust and overfitting prone.

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

Mostly agriculture related problems, like creating models of plant nutrient content via spectroscopic techniques, etc.

RapidMiner review by Anthony U.
Anthony U.
Validated Reviewer
Verified Current User
Review Source

"Rapid Miner is the best statistical tool for data mining "

What do you like best?

I used it as a recommender system and I found it awesome

What do you dislike?

No dislikes they only get better I strongly believe when more clients get to know about them many will leave r because when the work is done the client needs to manage the process on his own. Rapid miner gives the client a soft landing when consultants are done with their work. He can simply take over and run algorithms on his own without no knowing how to code

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

The latest version proves to me that it can be used to predict machine breakdowns awesome tool looking forward

RapidMiner review by David B.
David B.
Validated Reviewer
Verified Current User
Review Source

"Fast Learning Curve (December 16) 7.3001"

What do you like best?

Easy and fast learning curve.Official online Video Tutorials are very good. I'm new to Data Analytics (11 Months).In a very short space of time, The default screen is very well designed. The "Wisdom of the Crowds" section is very useful. There were plenty of times I was able to select the operator I needed from this section, This saved time. I could do Predictive Modelling and Sentiment Analysis. With reference to Sentiment Analysis, I wanted to compare two data sets. I was able to create a process, apply it to my first dataset and save the process. I was then able to reuse the same process on the second dataset. There was no need to rebuild the process. This saved me a considerable amount of time.

There is no coding involved. I could Fine Tune the process and Parameters.This allowed me to concentrate on producing better reports.

Rapidminer has the ability to produce fantastic charts and graphs. There is also the option to export results to Tableau.

What do you dislike?

I found it difficult to find an Official online Video to link up MYSQL database to Rapidminer.

This is probably more of a technical issue than Rapidminer.

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

Predictive Modeling, I used different models Decision models for example Decision Tree, Random Forest, Naive Bayes and K-Nearest Neighbour.

Sentiment Analysis. With reference to Sentiment Analysis, Search Twitter operator.

Third Party Extensions Analyse Sentiment Operator (Aylien.com) and Extract Gender Operator(Namsor.com)

RapidMiner review by Doron T.
Doron T.
Validated Reviewer
Verified Current User
Review Source

"I have used it to study data science"

What do you like best?

Rapidminer is quick to learn, easy to configure and intuitive. It therefore provides a very cost effective way to get a hands-on broad introduction to the wide, yet confusing field of data science.

What do you dislike?

Documentation of processes could and should be much better. Many of the doc pages seem to be a copy and paste of sections from other processes, often poorly adapted and missing some of the more important details, espcially when it comes to processes that serve similar purposes that are rather difficult to distinguish from one another.

Recommendations to others considering the product

I found RapidMiner to be a very good way for getting a practical hans-on view of data science. If you want to "jump" right into it, and if you have the right background, you would get a good feel for many "standard" data science operations.

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

I plan to use RapidMiner for analyzing eye tracking data to be collected from human subjects.

RapidMiner review by Roozbeh J.
Roozbeh J.
Validated Reviewer
Verified Current User
Review Source

"It was fantastic"

What do you like best?

It was a very fantastic software, I actually used in different project. I like the user interface. it is very easy to build a project and define everything.

One of the major advantage of RapidMiner is the possibility of connection with database tools, like MySQL.

no programming takes place and processes are merely defined by putting components together.

What do you dislike?

The first problem is not having all algorithms and it is very hard to modify or add the new algorithm.

The second problem is too slow in comparison with other software such as WEKA .

sometimes it crashed in the middle of process.

this tool is not very user friendly, so the use of the tutorial it’s almost necessary.

there big disadvantage of this tool, is the use of large amounts of memory and so is often obtained the error “out-of-memory”.

Recommendations to others considering the product

I suggest to work on speed . The software doesn't attract me in terms of speed

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

i used it for mood analysis and recommendation system, crime analysis,

RapidMiner review by Sergio G.
Sergio G.
Validated Reviewer
Verified Current User
Review Source

"Easy to experiment"

What do you like best?

I'm not familiar to data mining yet, but i found RapinMiner is an excellent tool to learning at the same time you are developing on modelling. I also like the flexible licences that adapt to every step on my project. I'm really really pleased with the program.

What do you dislike?

I'd love to have the program in Spanish. As I am learning new techniques, it would be wonderful to have the program in my mother tongue.

Recommendations to others considering the product

It's a solid tool. You can get a lot of help from RapidMiner team as well from the Community network. The program can manage loads of information, and in recent versions, visualization has improved a lot too.

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

I'm dealing with people analytics issues. The benefits are that it's very helpful to explain a model to clients that aren't familiar to data modelling, so it's great for showing the flow of your work.

I also like while I'm working I can easily find out what's working, and what's not.

RapidMiner review by Cyril J.
Cyril J.
Validated Reviewer
Verified Current User
Review Source

"A very easy, graphical and intuitive tool to explore mine data for beginners and advanced users"

What do you like best?

I love the graphical interface. I like the easy ways we import, clean and manipulate data and how we can connect operators and configure then. Moreover, it also make it easy to test different parameters and specs to save time specially with the latest releases.

What do you dislike?

I dislike that the minor things about the interface (Buttons, Tabs) which do not look more like Office and the charts are not as pretty. Sometimes it is hard to look at the charts when using very high resolutions, so I have to copy the chart data to Excel.

Recommendations to others considering the product

I highly recommend users to go for RapidMiner. It makes it much faster (hence. Rapid). The operators selection are huge and there are tools introduced in market place that offer excellent solutions. The latest updates make it easy to test RapidMiner from import and exploration to deployment. I am looking forward to working more and more with RapidMiner.

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

So far we are exploring data and using segmentation process. In the near future we are hoping to deploy RapidMiner at the clients for classification in real time. We wish to use RapidMiner for classifying customers, churn detection and fraud detection. So far the benefits is time saving instead of using scripting tools. I started with RapidMiner 5 and things used to take time. Now with RapidMiner 7 I am able to access the database and even test the deployment.

RapidMiner review by Carlos Roberto A.
Carlos Roberto A.
Validated Reviewer
Verified Current User
Review Source

"Wonderful Tool"

What do you like best?

It is easy to use, it has several tutorials to help learn. It is powerful. It helps us as faculty to show data mining and machine learning concepts. It has an intuitive user interface that allows start building and testing models right away.

What do you dislike?

It would be great to be able to connect RapidMiner to third party cluster software i.e. Hadoop. It is a little memory consuming, but it is comprehensible for the amount of functions it has. Sometimes it is difficult to import data from external sources.

Recommendations to others considering the product

If you are looking for an easy to use, stable, data mining software to start doing analysis, this is your tool. You can try it, and verify with your own experience that this is a great product that is worth buying.

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

Epilepsy genetic and age-related patterns. Clustering analysis of data and network data. Teaching machine learning and data mining to undergraduates and graduate students.

RapidMiner review by Wolfram H.
Wolfram H.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner is a fantastic and powerful tool for any kind of data mining tasks"

What do you like best?

RapidMiner studio is a prowerful data mining tool, supporting a huge amount of data mining algorithms and offering an easy to understand user interface.

Main advantages:

- RapidMiner offers a huge amount of operators, supporting all kind of data mining algorithms. All operators (except some extensions) are well documented and linked to corresponding scientific papers where appropriate, making RapidMiner a perfect tool also in a reseach context, e.g. to compare different existing algorithms for a specific data mining task (which is a clear adavantage compared to tools like IBM Enterprise miner)

- RapidMiner offers an easy to understand and comfortable user interface. The approach of building a data mining process by putting together operator chains makes it easier to understand for people without a strong IT background.

- the concept of RapidMiner extensions leads to a huge amount of additional operators for different specific data mining tasks

What do you dislike?

There is not much a dislike about RapidMiner.

One potential improvement is the varying quality and documentation of extensions. Some are hardly documented at all and are hard to use.

Some operators lead to a quite high memory consumption.

Recommendations to others considering the product

RapidMiner is the first choice when you are searching for a data mining tool with a comfortable and easy to use interface and a quite huge amount of available data mining algorithms and operators.

Tools from IBM or SAS offer the same level of usability but not that many different operators or data mining algorithm.

Tools like R offer an even broader support of different data mining algorithms and especially statistical functions but offer a more difficult user interface.

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

I am using RapidMiner for teaching data mining courses quite heavily. Additionally, I use RapidMiner in research projects, especially dealing with management information systems for tourism destinations. I specifically use RapidMiner for data mining tasks like tourism arrival prediction, explaining cancellation behavior, market basket analysis, customer segmentation and sentiment analysis.

RapidMiner review by Jorge C.
Jorge C.
Validated Reviewer
Verified Current User
Review Source

"Amazing features. Ultra fast deployment"

What do you like best?

Back in 2014 I had to implement neural networks and support vector machine algorithms to solve time series problems. After reviewing numerous software packages I found in RapidMiner Studio (I think that i started using v 6.1) the best tool that combines in one single piece of software powerfull operators to solve a huge number of problems with a very clean and easy to use Interface.

Also i found in the wisdom of crowd and excellent idea from RapidMiner for those who start using the program and also need some help in building processess. Besides, RapidMiner Marketplace had wonderfull extensions to leverage the power of the program.

Nowadays as principal investigator i'm using RapidMiner in several research projects to discover patterns in nutrition, healt and sports.

What do you dislike?

Excecution times could be a little bit faster. However I found in version 7.3 that the new implementation of parallel excecution on some operators helps a lot. I also notice that some extensions are a bit resource hungry.

Recommendations to others considering the product

RapidMiner is excellent and everybody should give a try

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

Pattern discovering in nutrition, healt and sports and prescriptive analysis.

Benefits: Very fast deployment.

RapidMiner review by Jim K.
Jim K.
Validated Reviewer
Verified Current User
Review Source

"Best Way to Learn Data Science"

What do you like best?

I love the technical and creative genius that went into creating RapidMiner. The layout is superb. Tutorials are built right into the product. I'm very happy with the documentation. The staff is knowledgeable and friendly. There is a ton of data science resources at my fingertips.

What do you dislike?

At first I had some problems with the small font size. That got better when I simply sat closer to my laptop. Then the font size was no issue when I got an external monitor and set the screen resolution to 1280x1024.

Recommendations to others considering the product

Start with the free license. If you can, switch to the education version when necessary.

Take a bit of time when going through the tutorials. Take good notes.

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

I'm creating a data science consulting service. RapidMiner is perfect for me. Before long I'll be ready to launch.

RapidMiner review by Luke O.
Luke O.
Validated Reviewer
Verified Current User
Review Source

"Data Discovery for Dummies"

What do you like best?

Very intuitive and easy to use. It has a fantastic interface, search tools, support community and help system. For those who want to do high level analysis but are rusty or not au fait with code, this system is ideal.

What do you dislike?

Sometimes parameters/options for processes are limited

Recommendations to others considering the product

This is a great tool for data scientists who want a quick and easy tool for analysis and visualisation of their data. Out of the box it won't have 100% of what you may need, but with the ability to add extensions and integrate other applications such as R, this is a very impressive product.

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

This was used as part of a university data science program. The benefits I have realised are from being able to perform high level analysis without needing to spend time programming.

RapidMiner review by Mark G.
Mark G.
Validated Reviewer
Verified Current User
Review Source

"RapidMiner in a K-12 Setting"

What do you like best?

I like RapidMiner's ease-of-use the most.

What do you dislike?

I dislike the learning curve to get started.

Recommendations to others considering the product

Once you are up-and-running, RapidMiner is well packaged and easy to access. There are enough libraries and modules to support your endeavors and complete virtually any form of analysis that you may need.

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

I have been able to accurately predict end-of-year student outcomes on statewide achievement assessments with our localized assessment data via logistic regression models in RapidMiner - this has helped immensely with resource allocation, effective decision-making, and improving meeting efficiency.

RapidMiner review by Chee Yong L.
Chee Yong L.
Validated Reviewer
Verified Current User
Review Source

"Pleasantly surpised by the ease of use and wide variety of functionality provided."

What do you like best?

The overall concept is easy to grasps. Canvas with operators providing various configurable algorithms that can be applied on data streams. People will experience in SPSS modeller will find transition pretty easy. I also find the large number of operators provides lots of useful features. A very nice feature is the "debug" feature that allows you to pause the process to view the data at each input and output ports of the operators. I really like the fact that there are documentation everywhere. Operators and ports have documentation that can be easily accessed.

I also like the wide variety of chart plotting operations to help visualize the results.

What do you dislike?

Not really dislike but I do think that there are some aspects of the software that can be further enhanced. For example, the documentation for some operators be can pretty cryptic, I had to re-read a few times to understand what it is trying to explain. I guess that is the problem for most such software due to the complexity and wide number of algorithms.

The results pane is pretty generic for the all processes. It would be good if it is possible to have some outputs that are tailors for different purposes, viewing a clustering results is very different from viewing outputs from a text mining process. So maybe it is nice if the software can provide some pre-configured results pane (types of charts etc) that is suitable for viewing different types of results.

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

I am currently using it for clustering, association rules, classification and text mining.

RapidMiner review by Ilja D.
Ilja D.
Validated Reviewer
Verified Current User
Review Source

"Perfect tool for nearly all data marketing work"

What do you like best?

Easy interface with a fast learning curve. Endless possibilities, applicable to multiple use cases, from basic data processing and ETL to far advanced analytics..

What do you dislike?

Sometimes server upgrades are hard to implement, happy to have a good support to help that.

Recommendations to others considering the product

Even if the learning curve is fast, do take your time to discover the enless options.

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

Data analytics for marketing, marketing automation. Benefit: speed and time saving, insights that change the way to do business..

RapidMiner review by User in Biotechnology
User in Biotechnology
Validated Reviewer
Verified Current User
Review Source

"Simple data analysis tool to use for proof of concept"

What do you like best?

Provides a much simpler method of showing proof of concept of data analysis pipelines, compared to coding. Easier to make changes and try various models and quickly get accuracy before attempting to code a model.

What do you dislike?

RapidMiner seemed to freeze at times, and was limited in terms of features and abilities. For example, extracting specific features out of a data set is limited compared to coding.

Recommendations to others considering the product

RapidMiner is limited in the features is offers, and it is difficult to get support for specific questions compared to other softwares. However, it is beneficial for building general data analysis pipelines and proof of concept.

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

Provides an easy way to share proof of concept with colleagues and quickly make changes when collaborating.

RapidMiner review by Brian N.
Brian N.
Validated Reviewer
Verified Current User
Review Source

"Rapidly enabling strategic deep dives into data"

What do you like best?

RapidMiner has proved to be a highly functional tool for performing not only basic statistical analysis but also complex analysis of data to build predictive models. It is highly intuitive and its flexible and rich user interface allows operators to be easily arranged in a logical flow that mirrors rational cognitive processes which gives a natural feel to workflows. Furthermore, the platform enables the user to interrogate the work flow at each stage which helps ensure a robust fit for purpose solution. Its dynamic link with data sources enables easy updating of the source data and the model with minimum changes to the workflow processes while its data blending tools ensure you can output the right superset all from one place. The software also features an expandable rich library of analytic operators that are augmented by the highly informative Wisdom of Crowds function. The performance assessment tools of the software, as opposed to being theoretical, are a real world test of the precision and applicability of predictive models created. In addition, there are a myriad of visualization tools to present your results.

What do you dislike?

For RapidMiner to be a more complete advanced predictive analysis platform, I’d like to see more visualization options and a higher quality, richer feel, to the visualizations so there will be no need to output to a third party visualization platform.

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

I am using RapidMiner to determine the complex relationships btween predictor components within a mineral ore body and the associated processing costs and constructing a predictive model that allows lowering of processing costs through strategic processing and scheduling. This would not have been possible without the deep dive into the data that RapidMiner enables.

RapidMiner review by User in Information Technology and Services
User in Information Technology and Services
Validated Reviewer
Review Source

"Powerful tool for analyzing data"

What do you like best?

Rapid miner is an excellent tool for analyzing data. It provides users with multiple analytics tools for users to analyze data sets in order to pull conclusions. It also allows for users to use multiple data sets to perform different analyses. There are also multiple ways to visualize the data sets that are being compared within this program

What do you dislike?

It is not a simple and easy to use platform. It took multiple days, even weeks to learn how to use this tool effectively. It takes time to learn all the features for this tool as well. This tool is more for those who need to perform an extensive analysis for a dataset, rather than a simple one

Recommendations to others considering the product

Ensure that users have proper documentation and training in order to use this program effectively

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

It allowed for me to use multiple different data sets in order to analyze data to drive business decisions. This tool has allowed us to analyze customer data for years, and help to improve processes and policies.

RapidMiner review by Jacob C.
Jacob C.
Validated Reviewer
Verified Current User
Review Source

"Focuses data analyst's mind on problem solving"

What do you like best?

This is a tool, which is very easy to use for beginners and very powerful for experienced analysts. Unlike the majority of other workflow-based data mining software, it offers workflow modularity and allows excellent control over data flows and logic. It seems to aggressively reject the traditional view of measuring quality of analytic models (such as statistic models) by their theoretical parameters, and forces model builders to create diagnostic experiments, which are well supported with various performance and validation options, as well as, the library of data visualisations. Most importantly, RapidMiner is a well designed, rich and continually growing integration framework, which is populated with numerous analytic libraries, well-known within an Open Source community. The software also has integration tools with Python and R, as well as, the development pathway towards server side large-scale deployment.

What do you dislike?

I'd like to see more data visualisation options and more flexible parametrisation of the existing visualisations. RapidMinder integration with R is still immature and it needs functionality for charts and output generated from R to be readily accessible within the RapidMiner Studio environment. I would also like to see better facilities for deep learning, which are currently available via Python and R, and the utilization of locally available computation resources, such as GPUs, rather than reliance on the H2O clusters.

Recommendations to others considering the product

Great functionality, however, get a decent desktop, think of going to the server on cloud!

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

I am using RapidMiner for research in a variety of fields and for teaching of Business Analytics to undergraduate, graduate and PhD-level business students and government employees. The software focus on end-to-end analytics and high-level analytic workflows perfectly aligns with my academic objectives.

RapidMiner review by Klemens W.
Klemens W.
Validated Reviewer
Verified Current User
Review Source

"Ideal tool both for teaching and research"

What do you like best?

It is really easy to develop models. Comparing different models (NN, deep learning, decision trees etc.) is easy and helps a lot to decide on the model to use for prediction. Although I am not a fan of "graphical programming" (I prefer source code hacking) ) Rapid Miner showed me that this is really useful - and that one can produce complex processes with just some mouse clicks.

And the second point is that I can easily show my students basics of data mining with Rapid Miner just within one lecture. And they can create their own model in the lecture too.

What do you dislike?

The only thing I am really missing for the moment is the ability to run developed models without the core rapid miner. What I mean with this is that I would like run a NN model with its parameters with pure Java Script (or similar) source code - without having to use a server. So some kind of library for this purpose.

Recommendations to others considering the product

Ideal tool both for learning and applying data mining

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

Not really a business problem, but a problem related to AAL (Ambient assisted living). Basically how can we detect health hazards using smart watches and sensor data produced by them . We have developed with Rapid Miner several models which enables us to predict hazards like tumbles, dehydration etc.

Kate from G2 Crowd

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