Altair RapidMiner vs Tableau Enterprise comparison

The compared Altair and Salesforce solutions aren't in the same category. Altair is ranked #4 in PA , with an average rating of 8.3, and holds a 6.6% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.2, and holds a 6.2% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 90% of Salesforce users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,391 Views
615 Comparison Views

96% willing to recommend

Tableau Enterprise

Read 309 Tableau Enterprise reviews

19,124 Views
11,666 Comparison Views

90% willing to recommend

Altair RapidMiner

Tableau Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 30, 2025

Tableau Enterprise and Altair RapidMiner compete in the data analytics and visualization category. Based on available information, Altair RapidMiner seems to have the upper hand due to its affordability and robust machine learning capabilities, while Tableau is considered more costly but provides excellent visualization.

Features: Tableau Enterprise is recognized for its comprehensive graphical representation capabilities, easy data blending, and flexible data drill-down features. Altair RapidMiner, meanwhile, offers no-code functionality, excellent integration with platforms like Python and R, and diverse machine learning models that make it suitable for complex data analysis.

Room for Improvement: Tableau Enterprise faces challenges with hierarchical data filtering and lacks built-in advanced statistical and machine learning features, alongside its high price point. Altair RapidMiner could improve its user interface and expand its deep learning capabilities to enhance integration and real-time analysis.

Ease of Deployment and Customer Service: Tableau Enterprise provides deployment options across Cloud and On-Premises with a support community, though receiving mixed reviews for customer service. Altair RapidMiner is deployable On-Premises and in Private Clouds, with reliable but not entirely comprehensive technical support according to user feedback.

Pricing and ROI: Tableau Enterprise is viewed as an expensive investment despite offering a rapid return on investment through improved data insights. In contrast, Altair RapidMiner provides more competitive pricing, especially advantageous in academic settings, and a free version for small datasets, offering significant value for educational and smaller enterprise environments.

To learn more, read our detailed Predictive Analytics Report (Updated: January 2026).

Buyer's Guide

Predictive Analytics

January 2026

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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 (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 6.2% mindshare, down 18.1% since last year.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	6.6%
Alteryx	7.6%
Anaplan	7.3%
Other	78.5%

Predictive Analytics

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Tableau Enterprise	6.2%
Microsoft Power BI	8.9%
Amazon QuickSight	3.7%
Other	81.2%

BI (Business Intelligence) Tools

Featured Reviews

VictorSantos

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.

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

"RapidMiner is very easy to use."

"I've been using a lot of components from the Strategic Extension and Python Extension."

"The most valuable feature is what the product sets out to do, which is extracting information and data."

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

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

"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."

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

More Altair RapidMiner pros

"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."

"The stability seems to be very reliable."

"It provides supporting data for critical policy and operational changes"

"Tableau's ability to manage extensive data, even in an extract format, is noteworthy, as Power BI struggles with that."

"Tableau is easy to use and it has great predictive features."

"Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."

"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."

"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."

More Tableau Enterprise pros

Cons

"If they could include video tutorials, people would find that quite helpful."

"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 isn't cheap. It's a complete solution, but it's costly."

"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 the Mexican or Latin American market, it's kind of pricey."

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

"It would be helpful to have some tutorials on communicating with Python."

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

More Altair RapidMiner cons

"There could be improvements on the mobile application, it is lacking features."

"The interface can be improved, in part because there is no indication that something is running or that it's processing."

"It should have more integration with different tools and technologies. Its licensing cost should also be improved."

"I would like the solution to have certain features allowing the delivery of reports to the email."

"Implementation requires a technical background."

"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."

"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."

"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."

More Tableau Enterprise cons

Pricing and Cost Advice

"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."

"I used an educational license for this solution, which is available free of charge."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"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."

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

"The price could be higher for the quality of software, so they revised the pricing in this version, and I agree with the price for top version. The top version costs about $70 per month, and the price is cheap for the quality."

"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."

"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."

"I recommend that you discuss your needs with the salesperson and try to negotiate the price."

"The value for money is definitely there."

"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."

"The cost of the solution should be improved."

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

Manufacturing Company

12%

University

11%

Computer Software Company

10%

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing 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	67
Large Enterprise	184

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 ...

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Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 29% of the time

Dataiku vs Altair RapidMiner

Compared 10% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Databricks vs Altair RapidMiner

Compared 6% 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 7% of the time

Amazon QuickSight vs Tableau Enterprise

Compared 4% of the time

Julius AI vs Tableau Enterprise

Compared 3% of the time

Databricks vs Tableau Enterprise

Compared 3% of the time

More Tableau Enterprise Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2026

Download Altair RapidMiner product report

Buyer's Guide

Tableau Enterprise

January 2026

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.

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