We performed a comparison between RapidMiner and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics."The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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 documentation for this solution is very good, where each operator is explained with how to use it."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"The geospatial maps representation and the visualizations are nice."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"The platform's most important feature is predictive analysis."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"The ability to deploy is the added ability to centralise the Tableau repository for all Tableau Developers."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"I think that they should make deep learning models easier."
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."
"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."
"It would be helpful to have some tutorials on communicating with Python."
"I would like to see more integration capabilities."
"If they could include video tutorials, people would find that quite helpful."
"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."
"The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great."
"Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
"Reports should be downloadable as PDF files."
"I would like them to include the Italian language, as I can see there are other foreign language in the product."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."
"The solution could use more features in data analytics."
"They need to improve the bar chart position and width."
RapidMiner is ranked 3rd in Predictive Analytics with 19 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 reviews. RapidMiner is rated 8.6, while Tableau is rated 8.4. The top reviewer of RapidMiner writes "Easy to use, robust, and simple to deploy". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and IBM SPSS Modeler, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud.
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