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Altair Knowledge Studio vs Amazon SageMaker comparison

 

Comparison Buyer's Guide

Executive Summary

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
20th
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Amazon SageMaker
Ranking in Data Science Platforms
4th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
39
Ranking in other categories
AI Development Platforms (4th)
 

Mindshare comparison

As of May 2026, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 1.6%, up from 0.4% compared to the previous year. The mindshare of Amazon SageMaker is 3.5%, down from 6.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Amazon SageMaker3.5%
Altair Knowledge Studio1.6%
Other94.9%
Data Science Platforms
 

Featured Reviews

LS
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.
NeerajPokala - PeerSpot reviewer
Machine Learning Engineer at Macquarie Group
Automation has transformed document review and reduces manual effort in financial workflows
There will be many features in Amazon SageMaker itself, but we don't know whether the feature is there or not, particularly the documentation part. Whatever the new releases will be, they will not post very fast. It is very easy to deploy Amazon SageMaker. The documentation is also very good. It is good because we are able to collaborate with our notebooks. At a time we can develop simultaneously and work on different use cases in the same notebook itself.

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 few projects we have done have been promising."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"The support is very good with well-trained engineers whose training curriculum is rigorous."
"I appreciate the ease of use in Amazon SageMaker."
"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."
"The technical support from AWS is excellent."
"I recommend SageMaker for ML projects if you need to build models from scratch."
"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."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"Lacking in some machine learning pipelines."
"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."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."
"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The entry point can be a bit difficult. Having all documentation easily accessible on the front page of SageMaker would be a great improvement."
"From the cost point of view, it's relatively on the higher side."
 

Pricing and Cost Advice

Information not available
"Databricks solution is less costly than Amazon SageMaker."
"The pricing is comparable."
"The pricing could be better, especially for querying. The per-query model feels expensive."
"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."
"SageMaker is worth the money for our use case."
"The product is expensive."
"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."
"Amazon SageMaker is a very expensive product."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise11
Large Enterprise18
 

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.
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...
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...
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...
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...
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.
 

Also Known As

Angoss KnowledgeSTUDIO
AWS SageMaker, SageMaker
 

Overview

 

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
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: April 2026.
893,221 professionals have used our research since 2012.