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RapidMiner Logo
8,496 views|6,657 comparisons
Tableau Logo
44,476 views|36,085 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: July 2021.
523,975 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The documentation for this solution is very good, where each operator is explained with how to use it.""The most valuable features are the Binary classification and Auto Model.""The most valuable feature is what the product sets out to do, which is extracting information and data.""The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.""Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.""The best part of RapidMiner is efficiency.""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."

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"Good data flow and management.""The most valuable feature is the interface, which is user-friendly and intuitive.""The action feature which Tableau has is very useful for us. If we click on one visualization, it will pass the value to another visualization. That interactivity within different visualizations is the most valuable feature of Tableau.""​Data is easily understood at all levels of the company.""Business insights are shared across various departments.""Its ease of use and ability to convert drag and drop gestures into queries.""The ability to create complex calculations.""​Its ease of use and ability to convert drag and drop gestures into queries."

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Cons
"The price of this solution should be improved.""RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.""A great product but confusing in some way with regard to the user interface and integration with other tools.""It would be helpful to have some tutorials on communicating with Python.""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.""I think that they should make deep learning models easier.""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 all users have access to all of the deep learning models, and that they can be used easily."

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"Requires a lot of user training.""The charts in Tableau are quite limited.""The pricing is a bit higher than the competition. They'll need to lower it to stay competitive.""​Conditional formatting could be an interesting feature to provide to final users.""The data preparation/blending options are very basic. They could be improved.""Tableau is a company that does not respect partners.""Reports should be downloadable as PDF files.""I am a BI consultant. I have worked on different reporting tools, such as Power BI and MicroStrategy. As compared to other tools, Tableau lags behind in handling huge enterprise-level data in terms of robust security and the single integrated metadata concept. When we connect to large or very big databases, then performance-wise, I sometimes found Tableau a little bit slow. It can have the single metadata concept like other tools for the reusability of the objects in multiple reports."

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Pricing and Cost Advice
"I used an educational license for this solution, which is available free of charge.""Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year.""The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

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"The company chose to purchase a creator license for me, which was $70. With that license, you can also be an administrator. We also have 20-25 extra licenses and they cost around $20-$35 each. Those are for normal users who will be viewing the dashboards. Those are monthly charges.""Tableau's licensing is pretty straightforward and simple.""ROI is very high, but it requires a data preparation/blending tool.""The cost of the solution should be improved.""It is reasonable and cheap as compared to other major tools. It has a good price, and people go for it because of its pricing.""Pricing is not bad. It's competitive.""At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software.""The professional version of Tableau is quite expensive."

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Comparison Review
Guillermo (Bill) Cabiro
I do use both Tableau and QlikView. Although very different, I really like both solutions. They belong to the new BI generation known as Interactive Visual Analytics. In my opinion, QlikView has a more intuitive interface for regular users or executives that are not technical experts but the development side is a little more complex. Up to version 12 QlikView did not provide drag & drop features. If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlikview's scripting has somewhat of a learning curve. On the positive side, QlikView's scripting is a great asset as it functions as an ETL allowing the integration of hundreds of different data sources into the same visual app. Another feature that’s extremely useful is Qlik’s proprietary Associative Model that allows the users to visualize data relationships that exist as well as those that do not. Tableau on the other hand is a lot easier to use for developers, analysts or power users who need to connect, manipulate and visualize data rather quickly. While this makes Tableau a better fit for the more analytical crowd, it may not be as appealing or intuitive to the regular or casual business users as QlikView is. Tableau has full pivot, drag & drop and drill down capabilities that are great for developers or power users. They can rotate measures and dimensions and graph them instantly using visualization best practices as suggested by… Read more »
Questions from the Community
Top Answer: The data science, collaboration, and IDN are very, very strong.
Top Answer: 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… more »
Top Answer: 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… more »
Top Answer: It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos… more »
Top Answer: If doing a technical comparison, Lumira (SAP's visual tool) isn't bad but the market share in this space is going to Tableau and Qlik both of which are strong in the visual side of BI. Most Business… more »
Top Answer: There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS - #askginie.ai
Ranking
3rd
Views
8,496
Comparisons
6,657
Reviews
9
Average Words per Review
664
Rating
8.4
Views
44,476
Comparisons
36,085
Reviews
45
Average Words per Review
624
Rating
8.1
Popular Comparisons
Also Known As
Tableau Desktop, Tableau Server, Tableau Online
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Overview

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Tableau helps people and organizations become more data-driven as the trusted leader in analytics.

The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.

People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation

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Sample Customers
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Top Industries
REVIEWERS
University43%
Energy/Utilities Company14%
Educational Organization14%
Engineering Company14%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company21%
University8%
Government7%
REVIEWERS
Financial Services Firm15%
University8%
Energy/Utilities Company8%
Healthcare Company8%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider15%
Financial Services Firm9%
Government7%
Company Size
REVIEWERS
Small Business62%
Midsize Enterprise8%
Large Enterprise31%
VISITORS READING REVIEWS
Small Business32%
Midsize Enterprise3%
Large Enterprise66%
REVIEWERS
Small Business28%
Midsize Enterprise20%
Large Enterprise52%
VISITORS READING REVIEWS
Small Business21%
Midsize Enterprise18%
Large Enterprise61%
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: July 2021.
523,975 professionals have used our research since 2012.

RapidMiner is ranked 3rd in Predictive Analytics with 9 reviews while Tableau is ranked 2nd in Business Intelligence (BI) Tools with 48 reviews. RapidMiner is rated 8.4, while Tableau is rated 8.2. The top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and IBM SPSS Modeler, whereas Tableau is most compared with Microsoft BI, SAP Analytics Cloud, ELK Kibana, Oracle OBIEE and Qlik Sense.

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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.