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Altair RapidMiner vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

Review summaries and opinions

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

Categories and Ranking

Altair RapidMiner
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
24
Ranking in other categories
Predictive Analytics (4th), Data Science Platforms (8th)
Tableau Enterprise
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st), Embedded BI (1st)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Altair RapidMiner is designed for Predictive Analytics and holds a mindshare of 6.6%, down 16.5% compared to last year.
Tableau Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 6.7% mindshare, down 18.3% since last year.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
Altair RapidMiner6.6%
Alteryx7.6%
Anaplan6.9%
Other78.9%
Predictive Analytics
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise6.7%
Microsoft Power BI9.3%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
 

Featured Reviews

VS
Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra
Utilize intuitive CRISP model support and predictive analytics features for effective data analysis
Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding. The tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

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

Pros

"Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The solution is stable."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"
"The technical support for RapidMiner is fantastic."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"It has given us faster reporting, resulting in better management of the information, and better usage of information in decision making."
"As an organization, we were able to bring in more people to use our platform because it was easy to use and helped business teams make quick decisions."
"The ability to make interactive graphs, tables, and maps that can be shared on social media, linked to, or embedded on a website are the most valuable features."
"Visualization and storytelling."
"This particular solution is quite an easy to use product and very robust, and even a layman who has not previously worked with any other BI tools would love to work on this because they will find many things easier to implement."
"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."
"We are able to create reports that are more helpful to our front-line employees, and they are able to implement decisions much faster."
"We liked the WebI /BO dashboard."
 

Cons

"I think that they should make deep learning models easier."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."
"I think it's a great product but confusing in some way with regard to the user interface and integration with other tools."
"Improve the online data services."
"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."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"The price of this solution should be improved."
"Only with SAP BW data sources."
"They still need to improve advanced query functions."
"Pricing is costly when compared to products like Microsoft Power BI. Also, the licensing should be more general."
"In v8.1 there was a problem with big Excel files - for ex: if you have an Excel spreadsheet with three sheets and more then 300,000 rows in each one and you want to add it as one datasource linked by one key field - your Tableau Desktop will be very slowly."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"Implementation requires a technical background."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"There are restrictions in scheduling reports. For instance, we cannot send the entire Excel file reports via email within Tableau."
 

Pricing and Cost Advice

"I used an educational license for this solution, which is available free of charge."
"For the university, the cost of the solution is free for the students and teachers."
"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."
"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."
"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."
"It is more expensive than other solutions."
"There is a license for this solution and we pay on an annual basis."
"Tableau is not as cost-effective as Microsoft BI."
"There is a license for the use of this solution and it is on a per-user basis. The server is free but the users you have to pay for."
"It is a bit difficult for some people when they hear $70.00 per month, as some solutions are available for less than $10.00 or for free."
"I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
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Comparison Review

it_user6330 - PeerSpot reviewer
Product Manager at a retailer with 10,001+ employees
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Manufacturing Company
11%
University
11%
Computer Software Company
9%
Educational Organization
9%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

What do you like most about RapidMiner?
RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...
What is your experience regarding pricing and costs for RapidMiner?
I started with a trial version. We are likely to purchase a license, which may offer additional features.
What needs improvement with RapidMiner?
Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...
Seeking lightweight open source BI software
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 Enter...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

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.
Find out what your peers are saying about Alteryx, SAP, Anaplan and others in Predictive Analytics. Updated: March 2026.
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