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Amazon

AWS Machine Learning

Composite Score

8.6 /10

CX Score

8.9 /10

74 Reviews Write a Review

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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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Awards & Recognition

AWS Machine Learning won the following awards in the Machine Learning Platforms category

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2025 Emotional Footprint Champion

Latest Award, 2025

2025 Data Quadrant Champion

2025

1 Top Rated Capabilities

1 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

0 Top Rated Capabilities

2 Top Rated Features

2024

0 Top Rated Capabilities

1 Top Rated Features

2023

AWS Machine Learning Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on AWS Machine Learning.

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

1
Since last award

91 Plan to Renew

3
Since last award

81 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.

+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?

0% Negative

5% Neutral

95% Positive

Pros

Respectful
Efficient Service
Effective Service
Includes Product Enhancements

Feature Ratings

Average 78

Performance and Scalability

Pre-Packaged AI/ML Services

Data Pre-Processing

Openness and Flexibility

Data Ingestion

Feature Engineering

Algorithm Diversity

Model Tuning

Algorithm Recommendation

Model Training

Data Labeling

Vendor Capability Ratings

Average 78

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Vendor Support

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Availability and Quality of Training

AWS Machine Learning Reviews

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

Validated Review

Anonymous Reviewer

Submitted Mar 2024

Easy to use, but a bit pricey. features are good.

Likeliness to Recommend

9 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Jocelyn B.

Role: Consultant
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2024

We are reinventing our processes with Amazon ML

Likeliness to Recommend

9 /10

What do you dislike most about this product?

Amazon makes it difficult and cumbersome for teams, department or organizations already locked into using the AWS machine learning platform, to switch to other providers. This is due to a variety of factors , including existing dependencies , which makes it tedious to migrate to substitute cloud platforms without having to rewrite code or fully redesign systems.

What recommendations would you give to someone considering this product?

I think it is important for the leadership or management team of an organisation seeking to adopt AWS Machine learning, to have a fair understanding of the common business and technical problems they seek to solve with it ,before adoption.

Pros

Reliable
Performance Enhancing
Enables Productivity
Security Protects

Pradeep P.

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

Validated Review

Verified Reviewer

Submitted Feb 2024

AWS is a powerful tool

Likeliness to Recommend

9 /10

What differentiates AWS Machine Learning from other similar products?

1. Innovative technologies 2. it is quite reliable and secure compared to other resources. 3. It is user friendly Graphical user interface

What is your favorite aspect of this product?

Highly cost effective AWS tools simplify tasks for developers. These include the AWS CLI, SDKs for languages, IDEs, and DevOps tools like AWS CloudFormation and AWS CodeDeploy. AWS introduces new technologies through research like AI, ML, serverless computing, containers, and edge computing.

What do you dislike most about this product?

1. Meeting regulatory rules like GDPR, HIPAA, or PCI DSS with AWS services can be tough. Making certain compliance may mean extra work and money putting in and overseeing security, checking, and papers. 2.Storing sensitive data online raises concerns. AWS uses security like encryption but users manage data. 3.Occasional downtime can occur on AWS. Disruptions may impact businesses relying on AWS, affecting work and customer experience.

What recommendations would you give to someone considering this product?

Must use web service tool .

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Inspires Innovation

AWS Machine Learning

What is AWS Machine Learning?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

AWS Machine Learning Ratings

87 Likeliness to Recommend

1 Since last award

91 Plan to Renew

3 Since last award

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love AWS Machine Learning?

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.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

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

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

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

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

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

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

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

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

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

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.

AWS Machine Learning Reviews

Easy to use, but a bit pricey. features are good.

Likeliness to Recommend

Pros

Jocelyn B.

We are reinventing our processes with Amazon ML

Likeliness to Recommend

Pros

Pradeep P.

AWS is a powerful tool

Likeliness to Recommend

Pros

Most Popular AWS Machine Learning Comparisons

Google Cloud Vertex AI

MathWorks MATLAB

Microsoft Azure Machine Learning

Databricks Data Intelligence Platform

Altair RapidMiner

DataRobot AI Platform

1
Since last award

3
Since last award

Feature Ratings

Performance and Scalability

Pre-Packaged AI/ML Services

Data Pre-Processing

Openness and Flexibility

Data Ingestion

Feature Engineering

Algorithm Diversity

Model Tuning

Algorithm Recommendation

Model Training

Data Labeling

Vendor Capability Ratings

Quality of Features

Ease of Data Integration

Business Value Created

Ease of Implementation

Vendor Support

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Usability and Intuitiveness

Availability and Quality of Training