Altair RapidMiner vs Tableau 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 14.1% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.3, and holds a 16.2% 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

5,302 Views
742 Comparison Views

96% willing to recommend

Tableau

Read 306 Tableau reviews

22,130 Views
13,499 Comparison Views

89% willing to recommend

Altair RapidMiner

Tableau

Comparison Buyer's Guide

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Executive SummaryUpdated on May 18, 2025

Tableau and Altair RapidMiner both compete in the business intelligence and data analytics space. Tableau appears to have an upper hand with its strong visualization capabilities and real-time data integration.

Features: Tableau is known for its robust data visualization features, ease of use, and interactive drag-and-drop functionalities. It allows integration with real-time data sources and offers advanced storytelling capabilities. Altair RapidMiner, on the other hand, shines in data science with its automated machine learning and integrations with Python and R, providing a comprehensive approach to data analysis and predictive modeling.

Room for Improvement: Tableau users often highlight the need for improved ETL functionalities, better server capabilities, and seamless integration with other platforms. Pricing is also a concern for smaller enterprises. Altair RapidMiner can improve its community support and interface intuitiveness. Users would benefit from more machine learning algorithms and enhanced documentation for easier usability.

Ease of Deployment and Customer Service: Both Tableau and Altair RapidMiner offer flexible deployment options, including on-premises, cloud, and hybrid models. Tableau is lauded for its customer service, with active community support and responsive technical assistance. Altair RapidMiner also provides good customer support, although its setup and interface may pose initial challenges for new users.

Pricing and ROI: Tableau's pricing is considered high, especially for small businesses, but users recognize the value of quick ROI through efficiency in data management. RapidMiner's freemium model and affordable educational licensing provide cost-effective solutions, although commercial licenses are pricier. Users find value in simplifying data processes and supporting decision-making.

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

Buyer's Guide

Predictive Analytics

July 2025

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Helped 863,679 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

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

306

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 14.1%, down 18.1% compared to last year.
Tableau, on the other hand, focuses on BI (Business Intelligence) Tools, holds 16.2% mindshare, down 19.4% since last year.

Predictive Analytics

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

Nattawat Choosuwan

Senior Data Consultant at a government with 11-50 employees

Real-time data connection enhances workflow and decision-making process

An area for improvement in Tableau is the Explorer license type. It is not as useful, and the product owner should enhance its benefits or clarify its role. Additionally, the frequent updates with many versions available for download can be confusing and could affect stability. They should avoid providing access to older versions on their website.

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

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

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

"The solution is very intuitive and powerful."

"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."

"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 is very easy to use."

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

"The best part of RapidMiner is efficiency."

More Altair RapidMiner pros

"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."

"The use of a storyboard helps the flow of the data visualisation."

"The most valuable feature is the geographic data analysis."

"The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce."

"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."

"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."

"The maps and colors and interface are all fantastic."

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

More Tableau pros

Cons

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

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"I would like to see more integration capabilities."

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

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

"The price of this solution should be improved."

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

"Improve the online data services."

More Altair RapidMiner cons

"The data entered into Tableau must be clean. Otherwise, it won't work properly."

"Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command."

"The solution could improve the scalability, it is difficult to make changes."

"Lacks customization in some areas."

"I am not a frequent user of this solution, so I am not sure what they've been doing recently. The last time when I used it, I had to use other tools with it for data extraction and cleansing. Its price should also be improved. It is more expensive than Power BI. In terms of training, there is generally better online training for Power BI, but I am not sure of that. It would be helpful to know from where to access its training."

"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."

"The pricing is a bit expensive."

"There are not enough language options. It needs to be offered in more than just English."

More Tableau cons

Pricing and Cost Advice

"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 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."

"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."

"Tableau is an expensive solution compared to Power 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."

"I'm using Tableau Public, which is free."

"Its price is reasonable. Everything is included in the license."

"I like the payment model. For the people who need to create, they buy their licenses. Everyone else can use the free Tableau Viewer. This is much better than some of the competitor products, which require full licences for everything."

"The cost is high."

"In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people."

"There is a license for this solution and we pay on an annual basis."

More Tableau 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

11%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 51% of the time

Dataiku vs Altair RapidMiner

Compared 16% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

Microsoft Power BI vs Tableau

Compared 19% of the time

Domo vs Tableau

Compared 11% of the time

Amazon QuickSight vs Tableau

Compared 6% of the time

Databricks vs Tableau

Compared 5% of the time

SQL Server vs Tableau

Compared 2% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

July 2025

Download Altair RapidMiner product report

Buyer's Guide

Tableau

July 2025

Download Tableau 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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

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: July 2025.

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