Altair RapidMiner vs IBM Watson Studio comparison

Altair and IBM are both solutions in the Data Science Platforms category. Altair is ranked #6 with an average rating of 8.3, while IBM is ranked #11 with an average rating of 8.5. Altair holds a 7.8% mindshare in Data Science Platforms, compared to IBM’s 1.9% mindshare. Additionally, 95% of Altair users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Altair RapidMiner

Read 22 Altair RapidMiner reviews

5,232 Views
4,119 Comparison Views

95% willing to recommend

IBM Watson Studio

Read 14 IBM Watson Studio reviews

2,088 Views
1,298 Comparison Views

100% willing to recommend

Altair RapidMiner

IBM Watson Studio

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Altair RapidMiner and IBM Watson Studio are competitors in the data science and machine learning platform category. IBM Watson Studio often has the upper hand due to its comprehensive features and ability to handle large-scale projects.

Features: Altair RapidMiner provides intuitive data preparation and visualization tools, efficient auto-modeling features, and a no-code platform accessible for beginners. IBM Watson Studio offers extensive advanced analytics capabilities, seamless integration with other IBM products, and a user-friendly UI for data modeling and tracking.

Room for Improvement: Altair RapidMiner could enhance its scalability and improve support for large datasets. Transitioning from simple models to more complex ones can be more user-friendly. The automation of advanced features could be refined. IBM Watson Studio may benefit from simplifying its deployment model, improve API integration efficiency, and reduce initial setup complexity to attract users with limited technical expertise.

Ease of Deployment and Customer Service: Altair RapidMiner is known for its straightforward deployment process and efficient customer support, ensuring smooth integration. IBM Watson Studio, although featuring a more complex deployment model, benefits from strong customer service support, effectively addressing intricate data science project needs.

Pricing and ROI: Altair RapidMiner is appreciated for its competitive pricing and solid return on investment, making it a preferred choice for budget-conscious buyers. IBM Watson Studio involves higher setup costs, which are justified by its feature richness and ability to deliver substantial ROI for organizations addressing complex data challenges.

To learn more, read our detailed Altair RapidMiner vs. IBM Watson Studio Report (Updated: January 2025).

Buyer's Guide

Altair RapidMiner vs. IBM Watson Studio

January 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

Ranking in Data Science Platforms

6th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (3rd)

IBM Watson Studio

Ranking in Data Science Platforms

11th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (9th)

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.8%, up from 6.5% compared to the previous year. The mindshare of IBM Watson Studio is 1.9%, down from 2.3% 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.

Read full review

Abilio Duarte

Senior Solutions Architect at Self-employed

A highly robust and well-documented platform that simplifies the complex world of AI

The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

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 solution is stable."

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

"The data science, collaboration, and IDN are very, very strong."

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

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

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

"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."

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

More Altair RapidMiner pros

"The system's ability to take a look at data, segment it and then use that data very differently."

"It has a lot of data connectors, which is extremely helpful."

"It is a stable, reliable product."

"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."

"Watson Studio is the most complete tool for AI projects."

"The scalability of IBM Watson Studio is great."

"Stability-wise, it is a great tool."

"Watson Studio is very stable."

More IBM Watson Studio pros

Cons

"I would like to see more integration capabilities."

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

"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."

"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."

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

"The price of this solution should be improved."

"I think that they should make deep learning models easier."

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

More Altair RapidMiner cons

"One area that could be improved is the backup and restoration of the database and the overall database configuration."

"I want IBM's technical support team to provide more specific answers to queries."

"Watson Studio would be improved with a clearer path for the deployment of docker images."

"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

"The initial setup was complex."

"We would like to see it more web-based with more functionality."

"So a better user interface could be very helpful"

More IBM Watson Studio 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'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."

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

"IBM Watson Studio is a reasonably priced product"

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

"IBM Watson Studio is an expensive solution."

"Watson Studio's pricing is reasonable for what you get."

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

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'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

What do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

See all answers

What is your experience regarding pricing and costs for IBM Watson Studio?

The pricing of Watson Studio is justified by the benefits and power it offers.

See all answers

What needs improvement with IBM Watson Studio?

One area that could be improved is the backup and restoration of the database and the overall database configuration. There were also challenges with programming the network extension in the last p...

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

Tableau vs Altair RapidMiner

Compared 7% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

Databricks vs IBM Watson Studio

Compared 27% of the time

Google Vertex AI vs IBM Watson Studio

Compared 16% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 14% of the time

Amazon Comprehend vs IBM Watson Studio

Compared 4% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2025

Download Altair RapidMiner product report

Buyer's Guide

IBM Watson Studio

February 2025

Download IBM Watson Studio product report

Also Known As

No data available

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

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

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Altair RapidMiner vs. IBM Watson Studio

January 2025

Free Report: Altair RapidMiner vs. IBM Watson Studio

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