RapidMiner

(131)
4.5 out of 5 stars

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 <span>Dr. Gernot H.</span>
Dr. Gernot H.
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"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.).

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RapidMiner review by <span>Nicolò S.</span>
Nicolò S.
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"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.

What Predictive Analytics solution do you use?

Thanks for letting us know!
RapidMiner review by <span>Manuel K.</span>
Manuel K.
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Verified Current User
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"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 <span>Michael G.</span>
Michael G.
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Verified Current User
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"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 <span>Hong Z.</span>
Hong Z.
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Verified Current User
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"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 <span>Mark P.</span>
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.

Kate from G2 Crowd

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