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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Get AssistanceAmazon 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
83 Satisfaction of Cost Relative to Value
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?
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Unique Features
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Ensembling
Performance and Scalability
Data Labeling
Feature Engineering
Data Pre-Processing
Model Monitoring and Management
Model Tuning
Model Training
Algorithm Diversity
Algorithm Recommendation
Explainability
Vendor Capability Ratings
Ease of Customization
Ease of Data Integration
Breadth of Features
Ease of IT Administration
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Quality of Features
Business Value Created
Ease of Implementation
Usability and Intuitiveness
Amazon SageMaker Reviews
Palak a.
- Role: Information Technology
- Industry: Finance
- Involvement: End User of Application
Submitted Apr 2025
Best software to host ml models
Likeliness to Recommend
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
Surendra K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Awesome amd good
Likeliness to Recommend
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
Jordan P.
- Role: Operations
- Industry: Technology
- Involvement: End User of Application
Submitted Sep 2025
Perfect for my data and AI analytics needs.
Likeliness to Recommend
What differentiates Amazon SageMaker from other similar products?
Sagemakers ability to scale automatically with our needs, is what I believe is one of the key things which stands it out from similar products. It is able to re-adjust resource management and reprovisioning , based on the immediate requirement of my workload. This ability to scale in real time with departmental needs strongly appeals to me.
What is your favorite aspect of this product?
Sagemaker reduces development time for me , as a result of its in-built models and algorithms. When working on regular use-cases such as natural language processing, I do not need to build my own models from scratch but simply leverage one of the hundreds of pretrained models which Sagemaker already provides me.
What do you dislike most about this product?
I think Sagemaker makes my department overly dependent on Amazon web service infrastructure, This will make the process of moving workflows or pipeline models to another cloud vendor very cumbersome, as a result of differences in model formats between Sagemaker and the cloud provider we are migrating to and of course this raises the need to refactor code.
What recommendations would you give to someone considering this product?
I think Sagemaker is most ideal and effective within organizations which already operates on Amazons web service , infrastructure.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Security Protects
