What is AWS Machine Learning?
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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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.
88 Likeliness to Recommend
92 Plan to Renew
2
Since last award
82 Satisfaction of Cost Relative to Value
1
Since last award
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.
+92 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 AWS Machine Learning?
Pros
- Respectful
- Efficient Service
- Effective Service
- Includes Product Enhancements
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
Pre-Packaged AI/ML Services
Performance and Scalability
Data Pre-Processing
Openness and Flexibility
Algorithm Diversity
Model Tuning
Feature Engineering
Data Ingestion
Algorithm Recommendation
Data Labeling
Model Training
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Vendor Support
Ease of Implementation
Breadth of Features
Ease of Customization
Product Strategy and Rate of Improvement
Ease of IT Administration
Usability and Intuitiveness
Availability and Quality of Training
AWS Machine Learning Reviews
Abiodun S.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted May 2025
"A Powerful Tool for Machine Learning"
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Security and Compliance: Robust security features and compliance with industry standards, ensuring data protection and regulatory adherence. - Cost-Effective: Pay-as-you-go pricing model, allowing users to only pay for the resources used.
What is your favorite aspect of this product?
Support for Popular Frameworks: Support for popular machine learning frameworks, such as TensorFlow, PyTorch, and MXNet.
What do you dislike most about this product?
Data Preparation: Time-consuming data preparation and feature engineering processes.
What recommendations would you give to someone considering this product?
Plan for Integration: Think about how AWS Machine Learning will integrate with existing infrastructure, applications, and workflows.
Pros
- Helps Innovate
- Continually Improving Product
- Trustworthy
- Unique Features
Adebayo F.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2025
Robust and Scalable Software for Machine Learning
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning stands out for its scalability, breadth of services, and deep integration with the broader AWS ecosystem, allowing users to build, train, and deploy models at any scale while leveraging powerful cloud infrastructure and data tools.
What is your favorite aspect of this product?
My favorite aspect of AWS Machine Learning is its scalability and flexibility—it supports everything from simple model deployment to complex, enterprise-level machine learning pipelines, all within a unified cloud environment.
What do you dislike most about this product?
What I dislike most about AWS Machine Learning is its complexity, as the platform can be overwhelming for newcomers, with a steep learning curve and sometimes scattered documentation across different services.
What recommendations would you give to someone considering this product?
I’d recommend AWS Machine Learning for users who need scalability and flexibility, but be prepared for a steep learning curve—take advantage of AWS tutorials, documentation, and community resources to navigate the platform and make the most of its capabilities.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Prince P.
- Role: Information Technology
- Industry: Other
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2025
Its is Very Effecient for ML tasks
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Easy of Use, Implemetatin and also its effeicency in performing ML jobs/task
What is your favorite aspect of this product?
Mostly all its features sits well with me
What do you dislike most about this product?
Nothing in particular
What recommendations would you give to someone considering this product?
Amazon Machine Learning is a robust solution for ML task, it like an all in one package and its very intuitive and user friendly
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
