We performed a comparison between IBM SPSS Modeler, IBM SPSS Statistics, and RapidMiner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"It is pretty scalable."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."
"It is very scalable for non-technical people."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The most valuable feature is its robust statistical analysis capabilities."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"It is a modeling tool with helpful automation."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"RapidMiner is very easy to use."
"The solution is stable."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"Initial setup of the software was complex, because of our own problems within the government."
"The platform's cloud version needs improvements."
"The time series should be improved."
"It would be good if IBM added help resources to the interface."
"The challenge for the very technical data scientists: It is constraining for them."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"I think the visualization and charting should be changed and made easier and more effective."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"If they could include video tutorials, people would find that quite helpful."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated 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 would appreciate improvements in automation and customization options to further streamline processes."
"The price of this solution should be improved."
"I would like to see more integration capabilities."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner can improve deep learning by enhancing the features."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
