RapidMiner Features

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...

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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.

It has some functionalities that make data analytics much easier than other softwares.

It can easily crash with more demanding algorithms such as deep neural.

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.

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.

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.

Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner.

Started using this software a few months ago, and its shear power is amazing. The number of things the user can do with this software are amazing

Sometimes, while handling big data, like having large number of examples and attributes, it takes a lot of time. The cumulative time increase, when the user is optimizing manually different attributes based on the results

I learnt how to do data mining with this software. I can only say it is perfect even for new learners. When I started data mining the concept itself was new to me and I did not want to do complicated programming to do my data mining. That is why I chose RapidMiner. It is so easy to use and it provides lots of hint how to use each icon. I really prefer RapidMiner if I want to get my data mined faster and easier. Highly recommended.

The help section was not %100 complete. It has many explanation but examples are not good explained.

Very comfortable to use especially for a beginner and since it can be supported in any platform and excellent form of teaching.Makes machine learning easy

A bit pricey to acquire but worth it at the end and it can consume a lot RAM sometimes your computer freezes

Provides a surprising array of different analytical templates from to off. Very easy to get up and running, an online tutorial videos quickly show how to use the different analytical reports.

I always prefer free versions of software to be open source, but that's perhaps being too picky. Learning curve.

1- Friendly interface, robust software operation 2- Easy to learn 3- It support several data types

Graphic plotting capabilities compare to R is low, I think this important feature that make RapidMiner stronger.

Easy to use. Perfect for non-technical users. RapidMiner includes a lot of Machine Learning libraries and algorithms. Easy to construct simple and understandable machine learning workflows

Does not scale well with the big data. Some visualization techniques are ambiguous.

The capabilities that this software offers are amazing. It is a great application for data analysis and statistical analysis.

The learning curve is steep and you are much more likely to learn this software if you follow tutorials or a guided lecture.

I had a big data set I should analyze and didn't have any clue about data mining that's where I was introduced with rapid miner and I analyzed my data in less than a day. so I can just say its so easy and pretty simple and perfect.

I couldn't find any instructions and manual as a guideline for using it.

This tool is basically identical to Alteryx, but substantially cheaper - making it a better value pick

This tool only worked well for my teammates who are in Windows....anyone who was using Mac had consistent issues (even after reinstalls), making it hard to pick for a team that uses both Windows and Mac

Easy of use, fast, really nice presentation of results.

The expansion through code is not easy. It has a lot of functionalities but in some locations you got stuck and need to implement in other way.

Graphic tool with lot of Predictive tools . Support Python code Support easy and complex of data sources Great tool for beginners and experts

Needs a good computer to support the engine. Output Graphics are not the best and I used excel to improve my presentations

It's so intuitive and easy to use. You can have a machine learning model built in just minutes and the price is great too! The best thing is that I don't have to be an experienced Data Scientist to work with this too. It's a great tool at a great price and very easy to use compared to other tools on the market!

No cons were added to this review

Easy to transform data and model easy to use machine learning algorithms Options for feature customization

webservice is difficult to use the GUI is not aesthetic

It makes data mining extremely easy even for beginners. Has many ready to go mining methods and drag and drop design.

It is very resource hungry. Makes memory full after a while. Despite its ease of use, it is also easy to get lost with so many features.

Fast at reading many kinds of databases. Various add-ons

It is very costly. It is hard to share the data with someone else.