AWS Machine Learning Logo Award Winner Product Badge
AWS Machine Learning Logo Award Winner Product Badge
Amazon

AWS Machine Learning

Composite Score
8.5 /10
CX Score
8.7 /10
Category
AWS Machine Learning
8.5 /10

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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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.

88 Likeliness to Recommend

1
Since last award

93 Plan to Renew

1
Since last award

79 Satisfaction of Cost Relative to Value

1
Since last award


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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.

+89 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
6% Neutral
94% Positive

Pros

  • Continually Improving Product
  • Respectful
  • Efficient Service
  • Security Protects

Feature Ratings

Average 78

Pre-Packaged AI/ML Services

83

Performance and Scalability

83

Data Pre-Processing

81

Data Ingestion

80

Openness and Flexibility

78

Algorithm Recommendation

78

Feature Engineering

78

Model Tuning

78

Algorithm Diversity

78

Data Labeling

77

Model Training

77

Vendor Capability Ratings

Average 78

Quality of Features

83

Ease of Implementation

81

Ease of Data Integration

81

Vendor Support

81

Business Value Created

79

Breadth of Features

79

Ease of Customization

77

Ease of IT Administration

76

Product Strategy and Rate of Improvement

76

Usability and Intuitiveness

75

Availability and Quality of Training

74

AWS Machine Learning Reviews

Abhay C.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted May 2024

Strong, Entire, and Complicated

Likeliness to Recommend

8 /10

What differentiates AWS Machine Learning from other similar products?

Scalability, flexibility, and an extensive and integrated set of services are what make AWS Machine Learning unique. It provides a vast array of tools, ranging from pre-built AI services like Rekognition and Comprehend to SageMaker for complete model building. Furthermore, its smooth connection with the larger AWS ecosystem offers strong infrastructure and comprehensive support for large-scale machine learning model deployment.

What is your favorite aspect of this product?

Amazon SageMaker is my favorite feature of AWS Machine Learning. It greatly streamlines the workflow by providing an end-to-end solution for creating, honing, and implementing machine learning models. It is very strong and easy to use for both novice and expert data scientists due to its ability to expand effortlessly and connect with other AWS services.

What do you dislike most about this product?

The complexity and high learning curve of AWS Machine Learning are the most annoying features for newcomers. It can be intimidating to sort through the multitude of services and comprehend how they all work together. Furthermore, the cost structure might be complicated, which makes it difficult to anticipate costs precisely without careful preparation and observation.

What recommendations would you give to someone considering this product?

Start with the free tier of AWS and use its introductory lessons to familiarize yourself without spending any money. Take advantage of seamless connectivity with other AWS services and monitor spending with tools like AWS Cost Explorer. Join the AWS ML community to receive guidance and best practices.

Pros

  • Continually Improving Product
  • Reliable
  • Unique Features
  • Efficient Service

Nikolay V.

  • Role: Information Technology
  • Industry: Entertainment
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted May 2024

Efficient tool to use

Likeliness to Recommend

9 /10

What differentiates AWS Machine Learning from other similar products?

Great tool to automate the models and refresh the data

What is your favorite aspect of this product?

Its efficiency, automation, and data processing capabilities

What do you dislike most about this product?

sometimes it can take long time to run the models

What recommendations would you give to someone considering this product?

Yes, I would recommend to use that if you are looking for the ML tool

Pros

  • Continually Improving Product
  • Reliable
  • Performance Enhancing
  • Efficient Service

Atharva V.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted May 2024

Unlocking Potential with Advanced AWS Features

Likeliness to Recommend

10 /10

What differentiates AWS Machine Learning from other similar products?

AWS Machine Learning differentiates itself by providing scalability and access to a wide range of cloud services while integrating easily into the larger AWS ecosystem. Because of its simple UI and detailed documentation, developers looking to innovate and improve their AI/ML projects can consider it as a great solution.

What is your favorite aspect of this product?

My favorite aspect of AWS Machine Learning as an AI/ML developer is its easy scaling and connectivity with other AWS services. This makes deployment and development easier, allowing me time to concentrate on problem-solving instead of infrastructure management.

What do you dislike most about this product?

The primary drawback of AWS Machine Learning for an independent developer is the possibility of rising costs with increased usage. Also, implementing all of it can be challenging and requires an in-depth knowledge of AWS services.

What recommendations would you give to someone considering this product?

Before implementing it directly go through its documentation and the training that AWS provide on their official platform, I personally would recommend to do the AWS training and certification before directly implementing it.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Unique Features

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