Altair RapidMiner Reviews

The primary use case of RapidMiner is for teaching. I select data and give it to the students to clean. They use several algorithms, they compact them, they evaluate them, then give the results to me.

RapidMiner is used in my organization just in education

The feature that I like the most is the business of utilization. You just have to connect with an operator to launch an analysis state to read the data. Then, you filter with another operator and clean it with another one. You can also use machine learning algorithms and then it gives you the results.

Compared to when you are programming with Python, where you have to write all of the instructions, this is better because the effort of programming takes more time.

The best part of RapidMiner is efficiency.

I have the deep learning models on my laptop but it doesn't work very well. I think that they should make deep learning models easier. They are using deep learning models today for image processing and language processing.

I am a professor of Data Science among other things. I use RapidMiner when I give a machine learning course  and that for the last six years. I started with the first version of RapidMiner and now use the latest version.

Very good 

Not used yet

I have never contacted technical support. Any time that I have had an issue, I have tried to solve it myself. 

One time when I had an issue with deep learning, 

I use several solutions 

The initial setup is very easy. The software is very easy to use.

I have been teaching for nine years and because I have the experience, it is easy.

I have worked with RapidMiner, but I have not yet explored all of the functionality of the software. As an example, the relation with big data and the relation with the Cloud. I have used the utilities quite a bit.

In the last model, they added automation cleaning for data preparation. It is very interesting.

I am a computer scientist and I received my Ph.D. 23 years ago. I am a researcher, and when I have a problem, I use it to research and to find a solution to much more difficult problems.

I would rate this solution an eight out of ten.

Our primary use for this particular product is to provide it for a large medical research company. It is a research company that helps pharmaceutical manufacturers, distributors, and clinics with analysis. Our client collects data that they crunch to provide these types of companies information about trends in distribution and production within the pharmaceutical industry. They use RapidMiner to crunch that data.  

The results of the analysis of the data helps with pricing, it helps with determining volumes, it helps with projections, et cetera. The client has a global license for RapidMiner, so here in the Middle Eastern branch, they use the same product as they do globally.  

I think it is a fairly straightforward interface generally. It is an easy-to-use solution compared to SAS Enterprise Miner, for example.  

On the other hand, compared to some other products, maybe the UI could be enhanced. The visual interface could have something like the-drag-and-drop features which Alteryx already supports. Some of those additional features can make RapidMiner a better tool and maybe more competitive or advanced.  

We have been working with the product for maybe two years now.  

Stability is good with this solution.  

Scalability is not really a concern with RapidMiner. The implementation that I have seen of this product for our client now is very sizeable. It scales very well.  

I had previously used other solutions but not as a part of this company. It was a matter of who I was working for.  

The initial setup is something that is supposed to be straightforward according to the people who implemented the solution. I was not part of the setup directly, so I don't know how complicated that is hands-on and so I'm not sure exactly what is involved or the exact amount of time it might take. The initial data mounting might be a big task when it is done globally as it is for this client.  

The current licensing cost is advertised on the website. The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license.  

I used to work with a company where we sold a variety of products as system integrators. So I compared some product because we had to evaluate them to know the advantages and differences. At that time, we got to the stage where we were signing up with Alteryx as a partner.  

So I was in touch with those Alteryx guys and wanted to also compare their product with SAS Enterprise Miner, who we already partnered with, and with RapidMiner as well.  

A couple of customers were already using RapidMiner and we were in the process of partnering with Alteryx. We have to know the other products even if it is through secondary research in addition to what the vendors are presenting.  

On a scale from one to ten where one is the worst and ten is the best, I would rate RapidMiner as around a seven. I choose seven because of the UI things and other parts of the product that might be improved. RapidMiner is more of an enterprise product. Here, in this region, most people like a packaged solution like Alteryx which covers more. Alteryx is also more attractive to many users because it is cheaper and easier to use from the perspective of the user interface.  

With Alteryx or Tableau, for example, you can just pick up data sources and then start EDL (enterprise data lake). It takes more effort to bring the data on to the data mart for RapidMiner and other enterprise products in the traffic mining category. These enterprise solutions have an additional level of complexity and flexibility but not everyone even needs it.  

I work in business intelligence pre-sales and am a customer of RapidMiner. I'm using the product for data mining. I'm involved in data science and doing a Masters degree in the field so I'm aiming to explore the data I have gathered. I have some experience with the product but it's not that deep. 

The most valuable feature is what the product sets out to do, which is extracting information and data. 

I think it's a great product but confusing in some way with regard to the user interface and integration with other tools. An improvement would be the addition of some buttons which would be useful because I'm sometimes unsure why I need to use something or what is its purpose. 

I would say the same goes for additional features, the addition of buttons would be helpful. The product is better than other software that I use. 

I've been using the product for two or three months although I'm not using the latest version. 

I believe the scalability is very good. 

The solution is stable. I think the tools the product provides are all that I require for my specific needs. 

Normally I use the community for support, and don't make contact with customer service. I have some friends who are working in that area and they help me. I also ask my coworkers for assistance. 

The tools have a complete function for doing data. I'm not quite sure about the speed of RapidMiner but I think it's the fastest solution that I use. I don't think the product consumes a lot of RAM, which is good. 

There is something confusing in the product but it's possible that the error is mine and maybe I'm not yet familiar enough with the product.

I would therefore rate this product a nine out of 10. 

My primary use cases for RapidMiner are data cleaning, preparation, and forecasting. We are in the telecom industry.

The most valuable features are the Binary classification and Auto Model.

RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.

I have been using RapidMiner for about one year.

The stability of RapidMiner is good.

This is a scalable solution.

The technical support for RapidMiner is fantastic.

The initial setup is easy.

I would rate this solution a nine out of ten.

My primary use case for this solution is education.

We did a course at the university and I used this for my own education, as opposed to a business use case.

The documentation for this solution is very good, where each operator is explained with how to use it.

There is a very clear structure between building a process and then looking at the results.

The price of this solution should be improved.

I have had no problems with stability.

I only used this solution locally, on my laptop.

I was only in touch with technical support for a licensing issue, and it worked out fine. I have no complaints.

The initial setup of this solution is pretty straightforward and easy to understand.

I installed this solution myself, on my laptop.

I used an educational license for this solution, which is available free of charge.

This is a solution that I recommend.

I would rate this solution an eight out of ten.

Predicting which customers were most likely to churn for subscription-based contracts. Both RapidMiner Studio and RapidMiner Server were used to build, model, and deploy to production.

RapidMiner has moved companies toward being more data-driven. Decisions are made based on analysis of data and rapid prototyping, instead of gut feel.

I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.

The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.

Overall, I would rate RapidMiner at eight of 10. I have been able to use it effectively for all required use cases.

RapidMiner is primarily used to develop and deploy machine learning workflows to real business use cases, e.g. predictive analytics, segmentation, etc...

As a data science consultant, I was able to custom-build a machine learning lead generation (web scraping) tool for a client and have it be operational in 72 hours.

1. Availability of cutting-edge data science tools and algorithms
2. Ease of code-optional GUI
3. Open Source Java core
4. Easy integration with APIs, Python, R, cloud storage, cloud computing, etc.

I would like to see wider adoption of the RapidMiner platform by the Open Source community as a viable alternative/companion to Python and R.

No.

No.

Superb.

I used to use Excel. It was horrid.

Not at all. Lots of YouTube videos and documentation. Super easy.

RapidMiner has a freemium pricing model so, as long as your dataset has fewer than 10,000 rows, you have free software. There is also free academic licensing for Higher Ed or researchers. For companies, RapidMiner's paid license is much cheaper than SAS, SPSS, or other competitors. You definitely get your money's worth.

SAS and SPSS.

Sign up and read what others do with RapidMiner on the user community (community.rapidminer.com).

I am testing RapidMiner as I am beginning data science. I will work with RapidMiner and Azure Machine Learning Studio. RapidMiner for Windows is an excellent graphical tool for data science.

I am using RapidMiner to generate insights for predictive maintenance in the Oil and Gas Industry, mainly for the electrical submersible pump system, including surface and down hole assets.

• No code is necessary, no R and Python skills. 
• Using the GUI, I can have models and algorithms drag and drop nodes.

Improve the online data services.