Altair RapidMiner vs Tableau Enterprise comparison

The compared Altair and Salesforce solutions aren't in the same category. Altair is ranked #3 in PA , with an average rating of 8.1, and holds a 10.9% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.3, and holds a 10.3% 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

4,556 Views
592 Comparison Views

96% willing to recommend

Tableau Enterprise

Read 307 Tableau Enterprise reviews

18,844 Views
11,683 Comparison Views

89% willing to recommend

Altair RapidMiner

Tableau Enterprise

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 868,787 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 (3rd), 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 10.9%, down 18.6% compared to last year.
Tableau Enterprise, on the other hand, focuses on BI (Business Intelligence) Tools, holds 10.3% mindshare, down 19.8% since last year.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	10.9%
Alteryx	14.0%
Anaplan	13.8%
Other	61.3%

Predictive Analytics

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	10.3%
Microsoft Power BI	14.1%
Amazon QuickSight	4.9%
Other	70.7%

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

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"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 solution is very intuitive and powerful."

"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"

"RapidMiner for Windows is an excellent graphical tool for data science."

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

More Altair RapidMiner pros

"Tableau's performance is really good, and it is adding new features."

"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."

"The most important feature in Tableau is visual analytics."

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

"The ability to present data is very effective, providing great impact and good online information."

"While using this solution I have found the valuable features to be ease of use and the visualization. It is a complete solution."

"When compared to Power BI, Tableau has more readily available resources."

"The most valuable feature is the ease of use."

More Tableau Enterprise pros

Cons

"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."

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

"The product must provide data-cleaning features."

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface 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."

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

"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."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

More Altair RapidMiner cons

"Small multiples (a.k.a. Trellis charts) are possible only through very hacky means. Update: Still remains a challenge."

"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."

"There are restrictions in scheduling reports. For instance, we cannot send the entire Excel file reports via email within Tableau."

"Implementation requires a technical background."

"With Tableau, there is a gap in its ability to handle very large-scale data."

"Its integration with Microsoft products such as Teams should be improved."

"Other tools are more competitively priced."

"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."

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."

"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."

"For the university, the cost of the solution is free for the students and teachers."

"I downloaded the solution online for free."

"The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license."

"This solution is a bit expensive. The pricing options have become more difficult over the years. I think they are bordering on pricing themselves out of the market. They need different pricing options for various-sized businesses. Where my organization is a large organization, we are happy to pay a higher price because we can leverage the products very extensively. For smaller enterprises, different pricing options would be good."

"Tableau is not as cost-effective as Microsoft BI."

"Its cost is quite high. A corporate license costs about 150-200K per year for all the users, but there was probably some discounted amount. This cost includes everything."

"Basically, we prefer a permanent license. A one-time charge is much better."

"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."

"We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern."

More Tableau Enterprise pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.

See recommendations

868,787 professionals have used our research since 2012.

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

12%

Manufacturing Company

10%

Computer Software Company

10%

Educational Organization

10%

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software Company

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 48% of the time

Dataiku vs Altair RapidMiner

Compared 14% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 4% 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 17% of the time

Domo vs Tableau Enterprise

Compared 8% 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

October 2025

Download Altair RapidMiner product report

Buyer's Guide

Tableau Enterprise

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

DOWNLOAD NOW

868,787 professionals have used our research since 2012.

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.