We performed a comparison between Alteryx, 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."One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"I like the fact that you can easily blend data from different platforms."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"It is efficient in optimizing our ability to get information."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"It's super easy to learn how to use it — the learning curve is very small."
"The most valuable feature of Alteryx is its performance. It is a powerful solution."
"The GUI is simple and it integrates with Python."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"You can quickly build models because it does the work for you."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"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 software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The most valuable features are the Binary classification and Auto Model."
"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."
"The solution is stable."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"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 documentation for this solution is very good, where each operator is explained with how to use it."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"Configuration is very low."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"The price of the solution could improve by being lower."
"If there is any way to make the learning curve less steep, that would be ideal."
"It would be great if Alteryx could take third party tools and incorporate them."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"The solution can be quite complex in some aspects."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"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."
"The solution needs to improve forecasting using time series analysis."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"It could provide even more in the way of automation as there are many opportunities."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"The price of this solution should be improved."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"Improve the online data services."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"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 like to see more integration capabilities."
