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Amazon SageMaker Reviews

3.9 out of 5
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Featured Amazon SageMaker reviews

Amazon SageMaker mindshare

Product category:
As of July 2025, the mindshare of Amazon SageMaker in the Data Science Platforms category stands at 6.2%, down from 9.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Science Platforms

PeerResearch reports based on Amazon SageMaker reviews

TypeTitleDate
CategoryData Science PlatformsJul 29, 2025Download
ProductReviews, tips, and advice from real usersJul 29, 2025Download
ComparisonAmazon SageMaker vs DatabricksJul 29, 2025Download
ComparisonAmazon SageMaker vs KNIME Business HubJul 29, 2025Download
ComparisonAmazon SageMaker vs Microsoft Azure Machine Learning StudioJul 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.115.9%96%91 interviewsAdd to research
KNIME Business Hub4.111.9%94%60 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
9%
University
6%
Insurance Company
5%
Retailer
5%
Government
4%
Educational Organization
4%
Energy/Utilities Company
4%
Comms Service Provider
4%
Healthcare Company
3%
Media Company
3%
Real Estate/Law Firm
3%
Non Profit
2%
Transportation Company
2%
Outsourcing Company
2%
Construction Company
2%
Pharma/Biotech Company
2%
Performing Arts
1%
Hospitality Company
1%
Legal Firm
1%
Recreational Facilities/Services Company
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Logistics Company
1%
Engineering Company
1%
 

Amazon SageMaker reviews

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Saurabh Jaiswal - PeerSpot user
Python AWS & AI Expert at a tech consulting company
Verified user of Amazon SageMaker
Apr 28, 2025
Create innovative assistants with seamless data integration for large-scale projects

Pros

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

Cons

"There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda."
Hemant Paralkar - PeerSpot user
Lead Consultant at Saama
Verified user of Amazon SageMaker
Dec 30, 2024
Improves team collaboration with advanced feature sharing but needs a better user experience

Pros

"The evolution from SageMaker Classic to SageMaker Studio, particularly the UI part of Studio, is commendable. "

Cons

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."
Find out what your peers are saying about Amazon SageMaker. Updated July 2025
863,679 professionals have used our research since 2012.
PeerSpot user
Senior Solutions Architect at a tech vendor with 10,001+ employees
Verified user of Amazon SageMaker
Dec 31, 2024
Efficient machine learning model operations with automated features

Pros

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

Cons

"One area for improvement is the pricing, which can be quite high."
SaravananThiagarajan - PeerSpot user
Data Scientist at a computer software company with 5,001-10,000 employees
Verified user of Amazon SageMaker
Sep 23, 2024
Offers a favorable pay-as-you-go pricing model and works seamlessly

Pros

"The technical support of the tool was good."

Cons

"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."
Maxwell Seefeld - PeerSpot user
President & CEO at Y12
Verified user of Amazon SageMaker
Dec 30, 2024
Offers insights into calls and real-time customer interaction while providing good integrations

Pros

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

Cons

"The main challenge with Amazon SageMaker is the integrations."
Syed Muhammad Noman Akhtar - PeerSpot user
AWS & Azure Engineer at a media company with 11-50 employees
Verified user of Amazon SageMaker
Dec 24, 2024
Supports building, training, and deploying AI models from scratch

Pros

"SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project."

Cons

"Having all documentation easily accessible on the front page of SageMaker would be a great improvement."
Ethan Kang - PeerSpot user
Senior Actuary at Accelerant Holdings
Verified user of Amazon SageMaker
Oct 28, 2024
Flexible cloud resources and intuitive interface for simplifying large dataset handling

Pros

"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook. "

Cons

"When starting a new session, the waiting time can be quite long, ranging from two to five minutes. "
Subrata Mukherjee - PeerSpot user
Senior Technical Architect; Head of Platform at Blenheim Chalcot IT Services India
Verified user of Amazon SageMaker
Nov 26, 2024
Allows for generating high-quality models without needing extensive coding knowledge

Pros

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

Cons

"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker. "