Altair Knowledge Studio vs IBM Watson Studio comparison

Altair and IBM are both solutions in the Data Science Platforms category. Altair is ranked #22 with an average rating of 8.0, while IBM is ranked #12 with an average rating of 8.4. Altair holds a 0.3% mindshare in Data Science Platforms, compared to IBM’s 1.9% mindshare. Additionally, 100% of Altair users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Altair Knowledge Studio

Read 2 Altair Knowledge Studio reviews

204 Views
152 Comparison Views

100% willing to recommend

IBM Watson Studio

Read 14 IBM Watson Studio reviews

1,997 Views
1,233 Comparison Views

100% willing to recommend

Altair Knowledge Studio

IBM Watson Studio

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Executive Summary

We performed a comparison between Altair Knowledge Studio and IBM Watson Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

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Data Science Platforms

March 2025

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Helped 847,959 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 Knowledge Studio

Ranking in Data Science Platforms

22nd

Average Rating

8.0

Reviews Sentiment

8.9

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Watson Studio

Ranking in Data Science Platforms

12th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (10th)

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 0.3%, up from 0.2% 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

Leo Sundararaj

Account Manager at JegaSure

Advanced decision trees and seamless data pattern analysis transform data preparation

One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools. The Segment ( /products/segment-reviews ) Viewer is another unique feature that provides a comprehensive view of data patterns and helps identify anomalies before creating decision trees. Additionally, the ability to export code in the language of SAS is valuable, and the tool's drag-and-drop functionality makes it accessible to business users without a coding background.

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

"One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools."

"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."

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

"IBM Watson Studio consistently automates across channels."

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

"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."

"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."

"Watson Studio is very stable."

"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."

More IBM Watson Studio pros

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."

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

"The decision making in their decision making feature is less good than other options."

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

"The main challenge lies in visibility and ease of use."

"The solution's interface is very slow at times."

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

"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."

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

More IBM Watson Studio cons

Pricing and Cost Advice

Information not available

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

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

"IBM Watson Studio is a reasonably priced product"

"IBM Watson Studio is an expensive solution."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

10%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Altair Knowledge Studio?

The licensing is straightforward, and we have not encountered any pushbacks from our procurement team. The pricing is on par with market competitors.

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What needs improvement with Altair Knowledge Studio?

It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation. Having all these functionalities wi...

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What is your primary use case for Altair Knowledge Studio?

I used Altair Knowledge Studio ( /products/altair-knowledge-studio-reviews ) mainly for data preparation and creating decision trees. We used SAS for data preparation and decision trees in Altair K...

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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

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Product Reports

Buyer's Guide

Data Science Platforms

March 2025

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Buyer's Guide

IBM Watson Studio

April 2025

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Also Known As

Angoss KnowledgeSTUDIO

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

Overview

Business intelligence and predictive analytics software suite from Angoss Software Corporation. KnowledgeSTUDIO is a market-leading business intelligence software product with data mining and predictive analytics capabilities including data profiling, advanced data visualization, advanced modeling, unsupervised learning, decision tree and strategy design functionality.

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

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Data Science Platforms

March 2025

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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.