Altair RapidMiner vs Tableau comparison

The compared Altair and Salesforce solutions aren't in the same category. Altair is ranked #3 in PA , with an average rating of 8.3, and holds a 16.5% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.6, and holds a 18.3% mindshare. Additionally, 95% of Altair users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Altair RapidMiner

Read 22 Altair RapidMiner reviews

923 Views
724 Comparison Views

95% willing to recommend

Tableau

Read 295 Tableau reviews

18,562 Views
15,629 Comparison Views

89% willing to recommend

Altair RapidMiner

Tableau

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Executive SummaryUpdated on Feb 11, 2025

Tableau and RapidMiner are prominent tools in data analytics and visualization, each offering unique capabilities. Tableau stands out for its visual representation and data integration, while RapidMiner excels in data preparation and machine learning. Based on the comparisons, Tableau appears to have an upper hand due to its extensive visualization features, though RapidMiner is highly beneficial for predictive modeling and automated processes.

Features: Tableau is acclaimed for its superior graphical representations and versatile data source integration, supporting databases like Oracle and MySQL. It offers flexibility with drag-and-drop functionality for creating complex visualizations. RapidMiner provides powerful data preparation capabilities with a focus on machine learning and automated analytics, offering extensive tools for predictive modeling and ease of use for non-programmers.

Room for Improvement: Tableau faces challenges with high costs and lacks certain advanced functionalities like comprehensive ETL operations. Handling large datasets efficiently and real-time data processing are areas for improvement. RapidMiner can enhance its machine learning features and improve integration with additional platforms to expand its analytical capabilities.

Ease of Deployment and Customer Service: Tableau offers a range of deployment options, including on-premises and cloud setups, which adds flexibility for organizations. Its customer service is highly praised, supported by a robust user community and responsive technical support. While RapidMiner primarily focuses on on-premises and private cloud deployments, it does have a user-friendly setup. Feedback suggests improvements could be made in its response times and problem resolution.

Pricing and ROI: Tableau is noted for higher pricing, with complex licensing options impacting affordability for smaller businesses. However, users find the investment worthwhile due to its robust features and potential for increased productivity. RapidMiner offers more accessible pricing, particularly valued in academic settings, and is known for cost-effective solutions with broad analytical capabilities, promising a quick return on investment.

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

Buyer's Guide

Predictive Analytics

February 2025

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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 (3rd), Data Science Platforms (6th)

Tableau

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

295

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 16.5%, down 20.7% compared to last year.
Tableau, on the other hand, focuses on BI (Business Intelligence) Tools, holds 18.3% mindshare, down 19.0% 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

ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time

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. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

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

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

"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."

"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 documentation for this solution is very good, where each operator is explained with how to use it."

"The solution is stable."

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

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

More Altair RapidMiner pros

"The solution has a lot of customization when comparing to Microsoft BI."

"The platform's most important feature is predictive analysis."

"The stability seems to be very reliable."

"Gradual scalability from simple to complex situations"

"The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness."

"Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us."

"It is a stable solution."

"You are able to see and follow trends."

More Tableau 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."

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

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

"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."

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

"I would like to see more integration capabilities."

"Improve the online data services."

More Altair RapidMiner cons

"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."

"The user experience for less savvy or non-technical people (from my experience)."

"The architecture should be improved to better handle the data."

"There are more than a powerful tool in the market, such as Microsoft BI."

"The product's features for cloud integration need improvement."

"The SQL programming functionality needs to be improved."

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

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

More Tableau 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."

"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."

"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 professional version of Tableau is quite expensive."

"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."

"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 license is very expensive."

"It is reasonable based on what it offers."

"It's an annual fee with everything included but it's quite expensive."

"Tableau is free."

"Tableau is an expensive solution compared to Power BI."

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%

Financial Services Firm

10%

Educational Organization

44%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

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'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.

See all answers

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

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 vs Altair RapidMiner

Compared 52% of the time

Dataiku vs Altair RapidMiner

Compared 17% of the time

Alteryx vs Altair RapidMiner

Compared 8% 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

Compared 20% of the time

Domo vs Tableau

Compared 13% of the time

Amazon QuickSight vs Tableau

Compared 7% of the time

Databricks vs Tableau

Compared 6% of the time

Sisense vs Tableau

Compared 2% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2025

Download Altair RapidMiner product report

Buyer's Guide

Tableau

February 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.

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