Altair RapidMiner vs TIBCO Data Science comparison

Altair and TIBCO are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while TIBCO is ranked #25. Altair holds a 7.8% mindshare in Data Science Platforms, compared to TIBCO’s 0.6% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,773 Views
745 Comparison Views

96% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

339 Views
124 Comparison Views

100% willing to recommend

Altair RapidMiner

TIBCO Data Science

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

Altair RapidMiner and TIBCO Data Science compete in the data science platform category. RapidMiner appears to have the upper hand in user-friendliness and community support, while TIBCO is more robust and suitable for enterprise-scale applications.

Features: RapidMiner offers drag-and-drop modeling, an extensive algorithm library, and a code-optional GUI for easy data manipulation. TIBCO provides advanced integrations, automation features, and supports complex data workflows, catering to enterprise-level applications.

Room for Improvement: RapidMiner could enhance its feature set to better accommodate complex data workflows and large-scale enterprise needs. It also needs improvement in generative AI adaptation. TIBCO could improve its user interface to be more beginner-friendly, simplify its deployment process, and enhance its community support.

Ease of Deployment and Customer Service: RapidMiner is praised for its easy installation process and responsive support, benefiting smaller teams with quicker setup. TIBCO's deployment is more challenging but backed by thorough documentation and professional service options.

Pricing and ROI: RapidMiner offers lower upfront costs, favorable for small to medium enterprises starting in data science. TIBCO, with higher initial costs, promises a higher return on investment through its comprehensive features and scalability, suitable for large-scale businesses focusing on long-term gains.

To learn more, read our detailed Altair RapidMiner vs. TIBCO Data Science Report (Updated: June 2025).

Buyer's Guide

Altair RapidMiner vs. TIBCO Data Science

June 2025

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Helped 859,129 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

Ranking in Data Science Platforms

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.8%, up from 7.0% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

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.

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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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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 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."

"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"

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

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

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

"The solution is stable."

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

"The best part of RapidMiner is efficiency."

More Altair RapidMiner pros

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The idea that you don't have to generate reports each day but they are sent automatically is great."

"The most valuable feature is the ease of setting up visualizations."

"The most valuable feature is the performance."

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 like to see more integration capabilities."

"Improve the online data services."

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

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

"The product must provide data-cleaning features."

"The price of this solution should be improved."

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

More Altair RapidMiner cons

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

"The scripting for customization could be improved."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"I would like the visualization for the map of countries to be more easily configurable."

Pricing and Cost Advice

"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."

"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."

Information not available

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

10%

Financial Services Firm

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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.

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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...

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Product Reports

Buyer's Guide

Altair RapidMiner

June 2025

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Buyer's Guide

Data Science Platforms

June 2025

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Also Known As

No data available

Alpine Data Chorus

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

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

Altair RapidMiner vs. TIBCO Data Science

June 2025

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