The training sections both in the tool and on the website are great. Clear even for people that do not have much data analytics experience Review collected by and hosted on G2.com.

Turbo prep function gives very little control over the outcome. An option to indicate what the purpose of the project is or which algorithm will be used Review collected by and hosted on G2.com.

Excellent platform. System Design very easy to accomplish. An explanation and example of each block diagram could be considered enough to simplify new methods for beginners. It doesn't need deep knowledge to know how to perform things from A to Z. Before using Rapid Miner I had to spend months to finalize my training and testing phases. I am now able to run experiments and get results in a week. Review collected by and hosted on G2.com.

There is a need for more features selection algorithms to be added for a full comparison of designed systems to the state of art methods. The "optimize parameters" block takes some time to run. it forces me many times to restart RapidMiner. Review collected by and hosted on G2.com.

powerful software for machine learning algorithms and it is very good and GUI make it easy to use Review collected by and hosted on G2.com.

some time delay when using for machine learning algorithms and deep learning and it does not support the Arabic language Review collected by and hosted on G2.com.

I like how any process can be made easily presentable and find the part of the process is quite simple. Review collected by and hosted on G2.com.

A greater description of when to use certain advanced parameters in processes would be helpful in addition to only an explanation of what that parameter does. Review collected by and hosted on G2.com.

data preparation is very easy and you can clean and prepare your data very fast. Review collected by and hosted on G2.com.

Visualization tools are very strict. they should allow us to play around more. Basically, it is good for the first impression but I can make better graphs with Python. Review collected by and hosted on G2.com.

RAPIDMINER is a great tool now for the analysis and visualization of data, it has a diversity of characteristics that allow you to do a more effective job. It provides the marketing department to adapt and improve its performance and solve problems through cloning that you can perform transformations such as calculations, percentages or dates to reuse the analyzes that allows significant time savings. Review collected by and hosted on G2.com.

Our experience has been very good and with results that are increasing each time, but a function that should be added is the automatic programming to generate data, this would be a great step to improve performance and productivity within Rapidminer,the support is nice and complete, I'm glad it worked perfectly. Review collected by and hosted on G2.com.

I like how quick one can build a pipeline for data processing. I am familiar with python-based ML, but I started using it also for quick prototypes of the python-based ones Review collected by and hosted on G2.com.

The tool is really highly memory-demanding. At times the process image exceeds 4GBs and it can slow down all other activities Review collected by and hosted on G2.com.

I like the fact that there are a lot of helpful guides and communities that can answer lots of questions that could pop up about using and designing models on RapidMiner. Additionally, I like that using RapidMiner itself, once you get the hang of it, is very easy and easy to understand. Review collected by and hosted on G2.com.

When first using RapidMiner, if you don't have some kind of outside help, it's confusing about where and how to start for beginners. Also at times, when I tried to run a model it always gave me an error that my computer didn't have enough space yet when a friend of mine ran the exact same thing with the exact same computer, it seemed to work just fine for them. This was a little frustrating. Review collected by and hosted on G2.com.

The visual workflow design approach can save time by allowing users to focus on the process and result and less on programming and troubleshooting. Additionally, there are many beginners who have a strong conceptual understanding in their field but are starting to jump into the field of data science and machine learning. Rapidminer's visual approach allows a wide range of users to benefits from its tools. Review collected by and hosted on G2.com.

The availability of certain algorithms can be improved or updated. For example, for clustering algorithms, beside k-means, there are some variations such as k-means++, x-means, and k-medians that can be included for comparison especially when you are using Auto Model. Review collected by and hosted on G2.com.

From a company finding the majority of its customers in the industrial sector, one might expect a customer interaction similar to how other Tech Giants behave. Nothing distinguishes RapidMiner more than any other company or application I used over more the last decades. As a clinician (anesthesiologist and emergency physician), once an absolute rookie in data science I tested several platforms able to solve my data related problems. And problems, I had many of them from extracting unstructured data from electronic health records (EHRs) to model deployment and monitoring of disease specific datasets from critical patients with stroke, sepsis, covid-19, etc. I could never have accomplished these tasks without the close relationship I developed over the years with amazingly interesting and clever people developing for or working with RapidMiner technology. A few things I experienced during that journey: No matter which sector you work in, listening to questions other data geeks are facing, reading the solutions proposed by experienced people in a certain subdomain always gives you a step forward to solve your own problem. I never noticed such a vivid community as the one I visit almost daily with almost 700K members and over 15K discussions and answers. As most other companies have only a customer service, RapidMiner always valued the direct feedback from any customer or platform user. This definitely is the reason RapidMiner is a very successful application as it keeps the finger on the pulse. The company always knows which direction customers wanted to get their platform to grow. Besides the passive inflow of information from the customers, RapidMiner is also actively interacting with its customers. National and international meetings and webinars are organized to get the latest trends and insights in the developments the company is working and additionally provides lots of time and space to have customers present their accomplishments. As many data science applications evolve in the direction of monolithic black boxes, RapidMiner used a completely different approach. As much as developing new technologies within their platform, they offered solutions to integrate existing code (R, Python, etc) within their processes which saved many hours of coding as several tools are available e.g. in Python and provide links to databases, websites, web services, feeds, social media, etc. As a clinician and data scientist, I need to spend a lot of time explaining the steps I took between raw data and the final model I developed. This is so often overlooked by many companies and from my point of view a significant reason the AI/ML revolution could have positioned itself at a higher level in many fields of directly aiding citizens to become healthier and more efficient. The most striking argument I have to stick to RapidMiner is the fact that I only need one application to get most of my work done from ETL to data visualization which makes the amount of coding required to achieve my goals to a minimum. RapidMiner evolved in such a way that people with almost no experience in data science can cluster and classify their data, make predictive models, deploy models and monitor any drift in a way large industrial processes are dealing with this. Additionally, the way the user interface is built, any process can be built starting with tangible building blocks which can be understood by any audience which will at one moment in time require insights in which magics you have created. Although RapidMiner has most of its customers positioned in different industries more than in research departments, RapidMiner always showed lots of interest and provided me with valuable advice. It may be very subjective but the word RapidMiner family is how I see this community and company. As life is an inflammatory pathway, generating interesting data, RapidMiner will always be one my everyday carry essentials. Sven Van Poucke, MD, PhD https://www.researchgate.net/profile/Sven_Van_Poucke/research Review collected by and hosted on G2.com.

I do not find any relevant downsides for this moment Review collected by and hosted on G2.com.