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
Mohit S.
- Role: Operations
- Industry: Entertainment
- Involvement: Vendor Management and Renewal
Submitted Feb 2025
Lots of features and benefits, easy to use
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Easy to use
What is your favorite aspect of this product?
Verity of features
What do you dislike most about this product?
Cost and license
What recommendations would you give to someone considering this product?
Go for it if you want to increase productivity
Pros
- Helps Innovate
- Saves Time
- Respectful
- Fair
Yash S.
- Role: Information Technology
- Industry: Electronics
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2025
Powerful and versatile platform but overwhelming
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Seamless integration with AWS compute and storage services (e.g., EC2, Lambda, S3). Supports a range of ML frameworks and tools. AWS offers an extensive range of machine learning solutions, catering to diverse needs. Users only pay for what they use, with options to optimize costs, such as spot instances for training and AWS credits.
What is your favorite aspect of this product?
AWS provides robust security measures, including encryption, IAM policies, and compliance certifications for industries like healthcare, finance, and government. For data governance professional like me, this ensures regulatory compliance and secure handling of sensitive data.
What do you dislike most about this product?
AWS ML services, especially SageMaker, can be overwhelming for newcomers due to the extensive options and configurations. Even with pre-trained AI services, integrating them effectively into applications may require technical expertise. Training large models or running complex workflows can become expensive quickly.
What recommendations would you give to someone considering this product?
AWS ML is powerful but not without its trade-offs. Organizations should assess their needs, technical expertise, and budget constraints to ensure AWS is the right fit. For those new to cloud-based ML or with niche AI requirements, alternative platforms might be more user-friendly or specialized.
Pros
- Continually Improving Product
- Trustworthy
- Helps Innovate
- Efficient Service
Cons
- Less Productive
- Less Reliable
- Less Performance Enhancing
Hemlata M.
- Role: Information Technology
- Industry: Education
- Involvement: Business Leader or Manager
Submitted Jan 2025
As a learner, I am highly satisfied .
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
I am using AWS management console from last 3 years . so don't want to switch others until it is very necessary
What is your favorite aspect of this product?
Innovation
What do you dislike most about this product?
Nothing , All features seems good and competitive.
What recommendations would you give to someone considering this product?
High recommendation
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
