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 #3 with an average rating of 8.0. Altair holds a 0.4% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 6.2% 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

239 Views
59 Comparison Views

100% willing to recommend

Amazon SageMaker

Read 37 Amazon SageMaker reviews

4,738 Views
1,603 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.

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Buyer's Guide

Data Science Platforms

June 2025

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Helped 860,168 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

3rd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 0.4%, up from 0.2% compared to the previous year. The mindshare of Amazon SageMaker is 6.2%, down from 9.3% 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

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."

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

"They are doing a good job of evolving."

"The technical support from AWS is excellent."

"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."

"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

"The technical support of the tool was good."

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

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."

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

"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."

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

"The solution is complex to use."

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

"For any cloud provider, the cost has to be substantially reduced, especially in the case of Amazon SageMaker, which is extremely expensive for huge workloads."

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

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

More Amazon SageMaker cons

Pricing and Cost Advice

Information not available

"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."

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

"SageMaker is worth the money for our use case."

"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."

"The support costs are 10% of the Amazon fees and it comes by default."

"The product is expensive."

"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

19%

Computer Software Company

12%

Manufacturing Company

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.

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...

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?

The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

See all answers

Comparisons

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Product Reports

Buyer's Guide

Data Science Platforms

June 2025

Download Altair Knowledge Studio product report

Buyer's Guide

Amazon SageMaker

June 2025

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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

June 2025

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