4 out of 5.0, Reviewed Nov 29, 2016
RapidMiner is the best open-source machine learning tool currently on market I've ever seen. The GUI interface is friendly to non-programmers, and the extension as well as the open-source code gives possibility for programmers to dig deep into it. The potential of RapidMiner is huge. However, the documentation is kind of poor in many operators and features, and due to the lack of users, not much reference could be found online.
5 out of 5.0, Reviewed Nov 24, 2016
Rapidminer GUI is easy to use and understand which gives the user the ease to build predictive solutions without much effort or programming background. Easly accessable online tutorials andlearning resources which enables one to excel fast in learning the software. The pulling in of your Python and R scripts is seamless in RapidMiner.
Try Rapidminer is one of the coolest and easy to learn open source softwares for Predictives
Ease learning and integration with R
Limited rows for the free version. Atleast 20 000 raws will be better.
Add operators like Markov chains and add more pre made example like text analytics etc
Try out Open source solutions before committing to cost plus full scale implementaion.
5 out of 5.0, Reviewed Nov 23, 2016
Rapid Minor is unique among data analysis packages. It has a very effective graphical interface which not only makes using the package for complex data analysis much more intuitive; it makes explaning the data analysis process to customers and clients an easier one as well. Truely a unique product wich is very easy to use.
Having some training to go along with the software is helpful. It is actually easy to learn, but you can speed up the learning more, with a couple of days of training.
The graphical way you conduct data analysis is outstanding. For visual learners and workers, this tremendous advantage.
Nothing really. It's very very good, and takes a little practice to learn the operators.
Nothing really. This product is very easy to use, and very very useful.
5 out of 5.0, Reviewed Nov 22, 2016
As a newcomer to text analytics, I found RapidMiner to be a good choice for the projects that I was engaged in. The tutorials were helpful and the supporting documentation was adequate.
Like any product, the commitment to learning is key to a successful launch, so use the excellent tutorials.
Thorough description of each operator, including inputs, outputs, and uses.
Having to manage a bunch of extensions (add-ins) to use all of the functionality.
Provide a bit more info on the casue of errors.
5 out of 5.0, Reviewed Nov 22, 2016
As a new user of RapidMiner, I would say it seems to be a performant and easy-to-use software for big data analytics. The book "Data Mining for the Masses" was a really good tutorial that demonstrates the features of RapidMiner. The help system inside the software provide pertinent information on the modules used to build models. The RapidMiner staff is also helping and very professional. RapidMiner has several types of licenses, including an educational license that enabled me to discover and use the software without restriction.
Read "Data Mining for the Masses" at docs.rapidminer.com/downloads/DataMiningForTheMasses.pdf
It's very user friendly. Building models with boxes and arrows is very intuitive and greatly help to have a clear view of the models
Sometime the tutorials for the modules are not clear enough
He could fix some little bugs in the software
I won't change anything
I am still discovering RapidMiner, I cannot tell I've explored all possibilities of the software. Moreover, I don't know its performance as compared to other big data softwares.
4 out of 5.0, Reviewed Jul 26, 2016
It was easy to adopt RapidMiner even when we did it while the company was on its early stages as a vendor. After three years of relationship I can say they are always supportive and on a continuous improvement path. The software is easy to install and manage and documentation is increasing making it easier to learn new ways of using and integrating the software with other solutions.
Always contact support when something is not working the way you thought it would work, they've shown that they take into consideration the bumps user runs into and always find a solution and sometimes on the next release you find things you suggested before.
The community is always there to help and the company is always uploading content to YouTube so that you can learn the tips and tricks to use the tool full potential.
Sales team and renewal each year, they’re tuning their offer an each year we need to seat down to define the best offer for us.
After sales support in Latin America each year it's been difficult for us to renew our licenses. I think its the only think they should keep on working with. Everything related to the support of the tool is great an exceeds my expectations but when we talk about renewal we spend more time that I would like to.
We might opt for taking the courses offered by rapidminer team since they would enable us to use the software on its full capabilities.
Using the web services it's easy to use the models you create on RappidMiner and also exposing the dashboards to other solutions we develop enabling us to have an independent team from IT development and maintaining full control on what we show to the customers.
5 out of 5.0, Reviewed Jul 15, 2016
RapidMiner Studio is easy to use, even for beginners. What I liked most is that after a very short try-and-error phase I could run my models. And my students too. And we could write our data mining article on ADL (activities of daily live) and presenting it on various conferences in a really short time.
Just use it.
Open Source, easy to use.
There are two points: a) (not really important) running the GUI on Microsoft Surface is a problem due to the high resolution of the Surface. b) Include deep learning methods.
Maybe rethink the way I organize my different models and how I name them.
5 out of 5.0, Reviewed Jul 14, 2016
Flawless performance and flexibility
clear and simple goals
4 out of 5.0, Reviewed Jun 23, 2016
RapidMiner is a robust suite of analytic capabilities and encompasses a broad range of analytic methods that can be applied to structured and unstructured data, numeric and text, etc. It is simple to install and get up and running quickly, even for a novice (non-data scientist). I am also quite pleased with the "Marketplace" of additional extensions (groupings of additional analytic methods) that can be easily integrated into the analysis suite. Relative to other commercial analytic products, RapidMiner is by far one of the most economical and reasonably priced, particularly given its powerful analytic capabilities. However, the built-in help is barely adequate, and the examples are often difficult to follow. In addition, I would like to see improved documentation and training, particularly in an on-demand and on-line format. If such training were readily available and affordable, it would likely reduce the time to better adopt and integrate RapidMiner into our operations.
Evaluate the software and its capabilities by using real or representative data and an evaluation copy of RapidMiner, which is full featured.
Cost, full featured, and expanding list of third party "extensions" in the on-line marketplace.
Lack of robust Help documentation, not enough example processes, lack of training options.
On-line and/or on-demand training seems to be an afterthought. I wish the vendor had a robust training curriculum 2 years ago.
The rate at which we are able to adopt RapidMiner is in part hampered by the lack of robust help documentation and training options. Much of what I have learned about RapidMiner's capabilities has been via YouTube videos or other 3rd parties, such as blogs and forums. I would like to see training options included with each purchase.
Outstanding capabilities for the price.
The company is small, and technical support resources seem scarce. They are good/qualified, but scarce.
4 out of 5.0, Reviewed Mar 16, 2016
I have received great support when required and the team at RapidMiner is willing to go the extra mile when I ask out of the box questions. The desktop client is easy to use and build models.
Start with a few easy use cases and see how RapidMiner performs and the time required to build the solution versus other tools.
Ease of use and ability to do data mining without having to write R or some other code which takes longer.
The user interface is much better in 7 than prior versions.
The server product must be the same version as the desktop, so you have to plan to upgrade both at the same time.
We would have bought more desktops and purchased the server license later after we had some proven models ready to deploy.
Desktop is great, Server is a bit clunky. Versions must match so upgrading across the team at the same time is required.