Altair Knowledge Studio vs Amazon SageMaker comparison

Altair and Amazon Web Services (AWS) are both solutions in the Data Science Platforms category. Altair is ranked #21 with an average rating of 8.0, while Amazon Web Services (AWS) is ranked #2 with an average rating of 8.2. Altair holds a 1.5% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 4.0% mindshare. Additionally, 100% of Altair users are willing to recommend the solution, compared to 91% of Amazon Web Services (AWS) users who would recommend it.

Altair Knowledge Studio

Read 2 Altair Knowledge Studio reviews

733 Views
718 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,234 Views
3,616 Comparison Views

91% willing to recommend

Altair Knowledge Studio

Amazon SageMaker

Comparison Buyer's Guide

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Executive Summary

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

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

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Buyer's Guide

Data Science Platforms

March 2026

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Helped 884,873 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

21st

Average Rating

8.0

Reviews Sentiment

8.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Amazon SageMaker

Ranking in Data Science Platforms

2nd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

AI Development Platforms (4th)

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 1.5%, up from 0.3% compared to the previous year. The mindshare of Amazon SageMaker is 4.0%, down from 7.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Amazon SageMaker	4.0%
Altair Knowledge Studio	1.5%
Other	94.5%

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 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

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

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 feature I found most valuable is the data catalog, as it assists with the lineage of data through the preparation pipeline."

"Allows you to create API endpoints."

"The most valuable feature of Amazon SageMaker is SageMaker Studio."

"The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use."

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"The few projects we have done have been promising."

"The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models."

More Amazon SageMaker 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."

"There are other better solutions for large data, such as Databricks."

"The dashboard could be improved by including more features and providing more information about deployed models, their drift, performance, scaling, and customization options."

"The solution is complex to use."

"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."

"The main challenge with Amazon SageMaker is the integrations."

"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."

"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

"Databricks solution is less costly than Amazon SageMaker."

"The solution is relatively cheaper."

"The product is expensive."

"Amazon SageMaker is a very expensive product."

"The tool's pricing is reasonable."

"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."

"There is no license required for the solution since you can use it on demand."

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	17

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.

See all answers

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...

See all answers

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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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

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What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

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What is your experience regarding pricing and costs for Amazon SageMaker?

If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage it properly, it can be expensive, but if you do, it's fine.

See all answers

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Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 6% of the time

Stack AI vs Amazon SageMaker

Compared 6% of the time

DataRobot vs Amazon SageMaker

Compared 5% of the time

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Product Reports

Buyer's Guide

Data Science Platforms

March 2026

Download Altair Knowledge Studio product report

Buyer's Guide

Amazon SageMaker

March 2026

Download Amazon SageMaker product report

Also Known As

Angoss KnowledgeSTUDIO

AWS SageMaker, SageMaker

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

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Sample Customers

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

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Buyer's Guide

Data Science Platforms

March 2026

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