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.

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.

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. 

The solution is used for market-based analysis. that said, things like scoring models, predictive models, forecasting, have not yet been implemented. However, they have a lot of traction on industry 4.0. We have not just yet gotten into that. 

Since the beginning, we had a really nice onboarding experience with RapidMiner.

The solution is fast when it comes to prototyping. The prep and auto model feature is something that people really like. They help you prototype a use case very quickly. The quick prototyping features that are included in the software get everything ready - including the model instructions and all that.

I do see RapidMiner as much more of a data science platform, and not really an art restoration platform. The data science, collaboration, and IDN are very, very strong.

In the Mexican or Latin American market, it's kind of pricey. 

The pricing can be a bit high.

Some of the data science platforms offer much more flexibility. Of course, there's not the same software for visual license results. It's somehow rigid.

I'd like to have a module for analytics there. For example, the capability of keeping track of changes in every version would be helpful. It was very, very difficult to track. 

Even as a partner, it is difficult to keep up with whatever changes they have in mind. On the commercial side, it has been the same. However, since I started, every three months, they propose a different commercial scheme. It's one of the reasons that they got lower marks on the Gardner report.

The UI is not super intuitive. It might be nice if, on the first time a person uses the product, there was a wizard that could walk a person through everything. It's supposedly very intuitive, and yet, I don't know what to, I don't know where to click, honestly. They need to offer a better-guided experience for beginners.

While the company likely has five or so years of experience with the solution, I only have three. However, I have had a lot of time to work with it. I've only been at the company for three years, which is why there is a time difference.

The scalability is important. For example, it's very easy to quote the desktop software. They tell, for example, how much data science users are going to be working with on the machines, in terms of creating models. You need to know how many concurrent users there are going to be. For that, you will have to quote the RapidMiner server. It can get very complex quoting once you get into operationalizing your models. 

They don't fully help you figure things out in terms of big accounts and scenarios. We'd like to have someone really technical assist. That type of person would know what questions to ask.

In terms of implementation, I will say that, that if a user gets the desktop version without the server, it's very difficult for them to actually get value out of the product. RapidMinor has discovered that the churn on the desktop product is very high. If you're going to get the desktop version, no worries, however, you have to have a clear strategy on how do the outputs of your models are going to make an impact on the business because the impact is not clearly seen sometimes.

The solution is considered expensive, at least in the Latin American market. They do try their best to give discounts whenever it's possible. However, the overall price is something to be cautious about.

We are using the latest version of the solution right now.

In general, we've been happy with the solution. I'd rate it at a nine out of ten.

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.