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
94 Plan to Renew
1
Since last award
81 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.
+91 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
- Continually Improving Product
- Respectful
- Efficient 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 Ingestion
Data Pre-Processing
Openness and Flexibility
Algorithm Diversity
Model Tuning
Feature Engineering
Algorithm Recommendation
Data Labeling
Model Training
Vendor Capability Ratings
Quality of Features
Vendor Support
Ease of Data Integration
Ease of Implementation
Business Value Created
Breadth of Features
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Availability and Quality of Training
AWS Machine Learning Reviews
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
Micheal S.
- Role: Information Technology
- Industry: Consulting
- Involvement: End User of Application
Submitted Mar 2025
Powerful and Scalable
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Its seamless integration with other AWS services, highly scalable infrastructure, and pay-as-you-go pricing make it ideal for businesses handling large-scale AI workloads.
What is your favorite aspect of this product?
Its scalability and deep integration with AWS services, make it easy to train, deploy, and manage ML models efficiently in the cloud.
What do you dislike most about this product?
its steep learning curve and complex pricing, which can be challenging for beginners and difficult to predict for cost management.
What recommendations would you give to someone considering this product?
Start with Amazon SageMaker for a guided experience, leverage AWS free tier for testing, and carefully monitor costs to avoid unexpected charges.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
