The ease of use, availability of toolboxes, community support. Review collected by and hosted on G2.com.
None. But GPU support is desired in future. Review collected by and hosted on G2.com.
Generated from real user reviews
The ease of use, availability of toolboxes, community support. Review collected by and hosted on G2.com.
None. But GPU support is desired in future. Review collected by and hosted on G2.com.

Easy to learn, but very powerful analysis can be made. Review collected by and hosted on G2.com.
Some documentation is not as clear as I would like. Review collected by and hosted on G2.com.
Good, easy to use platform suitable for learning and applying Machine Learning. Interactive GUI and continued efforts by RM to improve product offerings help place RM among the top ML platforms available. Highly recommended! Review collected by and hosted on G2.com.
Extensive dataset/ modelling may require high computing power. May be useful to further simplify background code processing to improve speed of generating outputs. However, this is a minor issue. Overall RM is an excellent platform. Review collected by and hosted on G2.com.
It's easy to use and I can solve my research problems on time thanks to Rapidminer. Without any coding skills you can easily dive into data mining world. Also it is very easy to work professionally with Rapidminer. Review collected by and hosted on G2.com.
Some operators like SVD (singular value decomposition) and PCA don't give detailed output matrixes. Review collected by and hosted on G2.com.
RM is a powerful data mining tool with user-friendly interfaces. It is particularly beneficial for researchers in social sciences disciplines with limited programming knowledge. In addition, I like the educational resources provided by RM team. The experience is very hand-on. Besides, I find the RM can meet all my research since it provides rich sources of algorithms as well as the possibility of adding the extensions. Review collected by and hosted on G2.com.
Basically I have a good experience using RM. Sometimes I will come across unknown errors while dealing with data in RM. I guess it might be the issue of the compatibility of RM and the extensions. Review collected by and hosted on G2.com.

It is very friendly to use and easy to understand Review collected by and hosted on G2.com.
In job advertisement there is no where mention about rapidminer experience. Review collected by and hosted on G2.com.
The TurboPrep ability to process data of poor quality. A huge time saver. Of course the modeling abilities are world class with automatic back testing, again a time saving function. Review collected by and hosted on G2.com.
There are still some bugs like an issue if you have a comma in a column header that gives an error without any indication of where it is coming from. Fortunately the rapidminer community forum is a big help. Review collected by and hosted on G2.com.

Implementing data science or machine learning can be challenging using programming languages like R or python for a beginner. But, RapidMiner has helped me solve problems in an easy way. Its like designing a flow chart. Review collected by and hosted on G2.com.
1. The user interface of visualizations is not good
2. Sometimes running complex models is very time consuming. The outlier detection features take forever to run.
3. Slows down my system Review collected by and hosted on G2.com.
click and drag makes the complex code easy Review collected by and hosted on G2.com.
time-consuming for some functions, also missing some functions Review collected by and hosted on G2.com.
No need programming even if for complex task. Very easy to use and enormous amount of function operators. Review collected by and hosted on G2.com.
More machine learning models included in auto model would be appreciated. Review collected by and hosted on G2.com.