We performed a comparison between RapidMiner and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP 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."
"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 solution is stable."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"RapidMiner for Windows is an excellent graphical tool for data science."
"We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. Tooltips, like the pop-up descriptions when you hover over some object or graph. Those tooltips in Tableau are great features."
"The dashboards are amazing, with different report types and stunning visuals. Most importantly, Tableau's AI with machine learning automatically predicts features and reports based on historical data. These are the three most valuable features for me."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"The product has the best features for analytical views and filters."
"Tableau is easy to use compared to some other solutions, such as Excel."
"It has been the best tool to work with from a self-service point of view."
"It allows us to basically understand and evaluate our numbers in an expedient manner."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would appreciate improvements in automation and customization options to further streamline processes."
"If they could include video tutorials, people would find that quite helpful."
"I think that they should make deep learning models easier."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"In the Mexican or Latin American market, it's kind of pricey."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"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."
"Tableau support could be improved."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome."
"We would like a report model, because currently there is no schema that we can create in the tool."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"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."
RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. RapidMiner is rated 8.6, while Tableau is rated 8.4. The top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". 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, 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 Databricks.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
