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 #22 with an average rating of 8.0, while Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0. Altair holds a 0.3% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 6.9% 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

212 Views
152 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 37 Amazon SageMaker reviews

5,661 Views
4,573 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, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: May 2025).

Buyer's Guide

Data Science Platforms

May 2025

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Helped 850,900 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

Amazon SageMaker

Ranking in Data Science Platforms

3rd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Mindshare comparison

As of May 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 Amazon SageMaker is 6.9%, down from 9.7% 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

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 ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), 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."

"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 these models, making accessing them convenient as needed."

"We've had no problems with SageMaker's stability."

"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."

"I have seen a return on investment, probably a factor of four or five."

"The product aggregates everything we need to build and deploy machine learning models in one place."

"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."

"They offer insights into everyone making calls in my organization."

"The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities."

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."

"The product must provide better documentation."

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

"There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda."

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

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

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

"The pricing could be better, especially for querying. The per-query model feels expensive."

"I would rate the solution's price a ten out of ten since it is very high."

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

"On average, customers pay about $300,000 USD per month."

"Databricks solution is less costly than Amazon SageMaker."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

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

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

18%

Educational Organization

11%

Computer Software Company

11%

Manufacturing Company

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.

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...

See all answers

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...

See all answers

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...

See all answers

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

Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.

See all answers

Comparisons

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Compared 44% of the time

Altair RapidMiner vs Altair Knowledge Studio

Compared 28% of the time

MathWorks Matlab vs Altair Knowledge Studio

Compared 28% of the time

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Databricks vs Amazon SageMaker

Compared 15% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

Data Science Platforms

May 2025

Download Altair Knowledge Studio product report

Buyer's Guide

Amazon SageMaker

May 2025

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

May 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.