Altair RapidMiner vs Tableau Enterprise comparison

The compared Altair and Salesforce solutions aren't in the same category. Altair is ranked #2 in PA , with an average rating of 8.1, and holds a 11.5% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.3, and holds a 11.0% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,844 Views
678 Comparison Views

96% willing to recommend

Tableau Enterprise

Read 307 Tableau Enterprise reviews

19,755 Views
12,248 Comparison Views

89% willing to recommend

Altair RapidMiner

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 24, 2025

Tableau Enterprise and Altair RapidMiner compete in the data analysis and visualization category. Tableau seems to have the upper hand in user satisfaction due to its advanced visualization capabilities.

Features: Tableau Enterprise is known for its graphical representation, dynamic storytelling tools, and data source integration. Altair RapidMiner offers robust machine learning capabilities, a no-code option for building models, and strong data processing abilities.

Room for Improvement: Tableau needs enhancements in statistical functions, data preparation, and predictive analytics integration. Altair RapidMiner could improve its tool integration, deep learning features, and user interface.

Ease of Deployment and Customer Service: Tableau provides flexible deployment options from on-premises to cloud, supported by a strong community but faces slow technical support. Altair RapidMiner offers on-premises and cloud options with extensive documentation and responsive customer service.

Pricing and ROI: Tableau, though costly, delivers strong ROI if deployed effectively, but its complex pricing model can lead to higher costs. Altair RapidMiner offers a freemium model for small datasets and affordable academic licenses, making it a good value compared to larger competitors.

To learn more, read our detailed Predictive Analytics Report (Updated: September 2025).

Buyer's Guide

Predictive Analytics

September 2025

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Helped 867,497 peers since 2012

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

Ranking in other categories

Predictive Analytics (2nd), Data Science Platforms (7th)

Tableau Enterprise

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

307

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 11.5%, down 18.3% compared to last year.
Tableau Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 11.0% mindshare, down 20.0% since last year.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	11.5%
Alteryx	15.0%
Anaplan	13.8%
Other	59.7%

Predictive Analytics

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	11.0%
Microsoft Power BI	14.5%
Amazon QuickSight	4.9%
Other	69.6%

BI (Business Intelligence) Tools

Featured Reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

Read full review

Uzair Faruqi

Head Of Analytics 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.

Read full review

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."

"Using the GUI, I can have models and algorithms drag and drop nodes."

"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 most valuable features are the Binary classification and Auto Model."

"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."

"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 solution is stable."

"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

More Altair RapidMiner pros

"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."

"The stability seems to be very reliable."

"The drill-down approach and interactivity in Tableau are highly effective."

"The data blending capabilities is a huge factor for our team."

"The best part about Tableau is the visualization."

"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."

"It is easy to use, and it can handle a large amount of data."

"The most valuable features of the solution are the permission management and the user management."

More Tableau Enterprise pros

Cons

"I would appreciate improvements in automation and customization options to further streamline processes."

"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."

"RapidMiner can improve deep learning by enhancing the features."

"The price of this solution should be improved."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."

"A great product but confusing in some way with regard to the user interface and integration with other tools."

"Improve the online data services."

More Altair RapidMiner cons

"Tableau could be more intuitive. It has all the features, but it is difficult to find them."

"When there are millions of records, scaling up is quite difficult."

"I don't have the ability in Tableau to create a tooltip and see the picture of a piece of jewelry or watch that is a best seller."

"Tableau's integration with Einstein Analytics could be better."

"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."

"I find data prepping in Tableau challenging to understand, perhaps because I am new to it. It sometimes requires extensive investigation to determine why the data does not appear correctly."

"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."

"We would like a report model, because currently there is no schema that we can create in the tool."

More Tableau Enterprise cons

Pricing and Cost Advice

"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."

"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."

"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."

"Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. Tableau has various prices for various models such as Creator, Designer."

"The licensing model of Tableau has changed since we initially purchased it three years ago and it is more complicated, and I have found it to be more expensive. They have lost market shares to Microsoft BI. My company will probably change solutions this year because of the increased pricing model."

"The license is very expensive."

"Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year. We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license."

"The price of this solution could definitely be lower. It's quite expensive."

"Tableau's prices are relatively high for our market. I am from Serbia, so many companies in this market don't have the ability to pay for expensive software. My clients are quite satisfied with a lot of Tableau's qualities except for the prices."

"The pricing for Tableau is the same as the other products in the market."

More Tableau Enterprise pricing and cost advice

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Comparison Review

it_user6330

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…

Read full review

Top Industries

By visitors reading reviews

University

11%

Computer Software Company

10%

Manufacturing Company

10%

Educational Organization

10%

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	117
Midsize Enterprise	66
Large Enterprise	182

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...

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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 ...

See all answers

Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 49% of the time

Dataiku vs Altair RapidMiner

Compared 15% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

Microsoft Power BI vs Tableau Enterprise

Compared 19% of the time

Domo vs Tableau Enterprise

Compared 10% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 6% of the time

Databricks vs Tableau Enterprise

Compared 5% of the time

SQL Server vs Tableau Enterprise

Compared 2% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

September 2025

Download Altair RapidMiner product report

Buyer's Guide

Tableau Enterprise

August 2025

Download Tableau Enterprise product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

Altair

Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.

Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.

What are the most valuable features?

Interactive Visualizations: Enables users to create engaging reports.
Drag-and-Drop Functionality: Simplifies data analysis processes.
Data Integration: Offers seamless connectivity with multiple sources.
Real-Time Collaboration: Supports synchronous data sharing.
Advanced Analytics: Provides predictive analytics and geospatial analysis.

What benefits and ROI should users look for?

Informed Decision-Making: Facilitates data-driven insights.
Efficiency in Reporting: Streamlines dashboard and reporting tasks.
Cost-Effectiveness: Despite high licensing, value in robust analytics tools.
Customizable Options: Tailors analytics to specific needs.

Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.

Salesforce

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, Altair, SAP and others in Predictive Analytics. Updated: September 2025.

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