Altair RapidMiner Reviews

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.