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Amazon

Amazon SageMaker

Composite Score

8.0 /10

CX Score

8.4 /10

11 Reviews Write a Review

What is Amazon SageMaker?

Bringing together widely adopted AWS machine learning (ML) and analytics capabilities, Amazon SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. Collaborate and build faster from a unified studio (preview) using familiar AWS tools for model development, generative AI, data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable generative AI assistant for software development.

Company Details

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Amazon SageMaker Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

87 Likeliness to Recommend

100 Plan to Renew

85 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+98 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon SageMaker?

9% Negative

0% Neutral

91% Positive

Pros

Continually Improving Product
Reliable
Enables Productivity
Unique Features

Feature Ratings

Average 84

Performance and Scalability

Data Labeling

Feature Engineering

Ensembling

Data Pre-Processing

Model Monitoring and Management

Model Training

Algorithm Diversity

Algorithm Recommendation

Model Tuning

Explainability

Vendor Capability Ratings

Average 83

Ease of Customization

Vendor Support

Ease of Data Integration

Breadth of Features

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Quality of Features

Business Value Created

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Amazon SageMaker Reviews

Palak a.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2025

Best software to host ml models

Likeliness to Recommend

10 /10

What differentiates Amazon SageMaker from other similar products?

Great software for hosting ml models and making it accessible while runtime. Integrating everything in the aws is great

What is your favorite aspect of this product?

Being able to host ml models

What do you dislike most about this product?

Nothing to dislike yet

What recommendations would you give to someone considering this product?

Best software to host ml models

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Unique Features

Sikha S.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2026

experience managing scalable ml operations

Likeliness to Recommend

9 /10

What differentiates Amazon SageMaker from other similar products?

advanced mlops capabilities for ml pipelines and model monitoring

What is your favorite aspect of this product?

facilitate better collaboration between the data science team and the engineering team

What do you dislike most about this product?

limited flexibility in multi cloud or hybrid architectures

What recommendations would you give to someone considering this product?

ake model monitoring and alerting setup mandatory before going into production

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Surendra K.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2025

Awesome amd good

Likeliness to Recommend

7 /10

What differentiates Amazon SageMaker from other similar products?

It is fully cloud manager service that enables developers to quickly easily and train and build the models.

What is your favorite aspect of this product?

It provides accurate results and use for development of applications and code quality is excellent.

What do you dislike most about this product?

Sometimes provides the false positives results

What recommendations would you give to someone considering this product?

If you are tech stack is based on aws then you can definitely try this.

Pros

Enables Productivity
Efficient Service
Effective Service
Inspires Innovation

Latest Research

Amazon SageMaker

What is Amazon SageMaker?

Company Details

Need Assistance?

Amazon SageMaker Ratings

87 Likeliness to Recommend

100 Plan to Renew

85 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love Amazon SageMaker?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Data Labeling Ability to annotate/label data to create a training data set.

Feature Engineering Ability to extract and build features from raw data.

Ensembling 'Ability to combine ML models for best results.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Model Training Ability to train a model with a range of data sets that you provide.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Explainability Ability to explain/ visualize the model.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Amazon SageMaker Reviews

Palak a.

Best software to host ml models

Likeliness to Recommend

Pros

Sikha S.

experience managing scalable ml operations

Likeliness to Recommend

Pros

Surendra K.

Awesome amd good

Likeliness to Recommend

Pros

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Feature Ratings

Performance and Scalability

Data Labeling

Feature Engineering

Ensembling

Data Pre-Processing

Model Monitoring and Management

Model Training

Algorithm Diversity

Algorithm Recommendation

Model Tuning

Explainability

Vendor Capability Ratings

Ease of Customization

Vendor Support

Ease of Data Integration

Breadth of Features

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Quality of Features

Business Value Created

Usability and Intuitiveness

Product Strategy and Rate of Improvement