Altair RapidMiner Reviews

We primarily use the solution for training and deploying various supervised and unsupervised models in the area of financial crime management.

It enables banks to quickly try and experiment multiple algorithms on same data set without the worry to have full time data scientists working. Focus shifts to data procurement, feature engineering and model validation rather than to worry about coding the same in other languages.

The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.

The features the solution offers are quite extensive. We haven't had a chance to utilize all of them yet. The solution is constantly evolving to continue to be cutting edge.

The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated BFSI environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team.

If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery.  However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator.

I've been using the solution for about 3 years.

The stability of the solution is good. We haven't faced any bugs or glitches. However, it does depend on the data model you are working on. So far, for example, we haven't modeled a big data site, so I'm not sure what stability would be affected in a case like that.

In terms of scaling, it depends on the model you are deploying. When you build a model in a batch, scale is not an issue, because you can run it for hours or days to train the model. Currently, our company works within banks where we process around 10-20,000,000 transactions per day on a single site in the bank. 

You need to balance everything. In a real-time system, like the way we are operating, where we have a high case of having to send a response in less than one second, we need to have a balance. There are various ways we make sure, according to the deployment model, that we can respond within that one-second timeframe.

 Typically the kinds of people using the solution are data scientists and data analysts.

In terms of technical support, whenever we face issues, the first place we go to are online forums or the solution's blogs. Typically, we can find an answer to our issues there. If there are issues that need to be fixed, they do offer extensions where you can write your own Python or R program to address them.

Before using this solution, we were mostly working on a native R and Python-based platform. It was more of an open-source tool. This is the first commercial tool we have used.

In terms of the initial setup, you don't need to install the solution because it's a desktop version. It's the server of the deployment model which is a bit more complex. However, a desktop version is a standalone application and it's pretty straightforward. 

Unless you have some preliminary understanding of how machine learning models work, you will not be able to use the tool. It's not just with RapidMiner, it's on any tool. You have to check the parameters for every algorithm and you need to understand how algorithms work. Even with the excellent GUI and auto model capabilities, you'll still need the have a decent level of data science or machine learning knowledge.

We have an in-house team of data engineers, data analysts, subject matter experts, data scientists and ML engineers who collaborate with bank's IT and business team to deliver the solution. This is handled by dedicated team working under Professional consulting group.

This is confidential as banks do not usually share this information. However, given the ML platform with auto model capability, I can say ROI would easily exceed at least 90%. This again depends on how many models are trained and deployed on a regular basis.

Within the company, we have about seven user licenses. When it comes to clients, they typically only have one license, which is more than enough for their use.

We did evaluate a few others like IBM SPSS. But Rapidminer is very user friendly and has a robust rating on various leading portal like KDnuggets. 

We're in the banking and finance space, so mostly our clients use the on-premises deployment model. As part of compliance, it's required that data should not go out of the bank's boundaries or firewall.

This solution is a great tool for users that are experimenting and is an alternative to doing the coding and everything themselves. It's perfect for those who want to focus more on data analysis rather than spending days coding everything. Users can go pretty far because of the solution's Auto ML capability which cuts down on coding. It allows for great productivity.

I'd rate the solution eight out of ten.

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.

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.