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- Amazon SageMaker-vs-Google Cloud AutoML
Compare Amazon SageMaker and Google Cloud AutoML 
At a Glance
Market Segments
Small-Business (36.1% of reviews)
Small-Business (40.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(39)4.2 out of 5
Market Segments
Small-Business (36.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerGoogle Cloud AutoML
Star Rating
(22)4.1 out of 5
Market Segments
Small-Business (40.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoMLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its Managed Service capabilities, with a score of 9.5, making it a preferred choice for businesses looking for a robust managed environment. In contrast, Google Cloud AutoML, while still strong, has a slightly lower score of 8.8 in this area.
- Reviewers mention that SageMaker's Scalability is impressive, scoring 9.0, which allows users to handle large datasets and complex models efficiently. Google Cloud AutoML, however, shines even brighter with a score of 9.7, indicating superior scalability options for users with extensive needs.
- G2 users highlight the Ease of Setup in Amazon SageMaker, scoring 8.4, which is beneficial for teams looking to get started quickly. Conversely, Google Cloud AutoML has a lower score of 7.3, suggesting that users may face more challenges during initial setup.
- Users on G2 report that Amazon SageMaker offers a better Quality of Support with a score of 8.7, indicating that users feel well-supported during their usage. In comparison, Google Cloud AutoML's support quality is rated at 7.6, which may leave some users wanting more assistance.
- Reviewers mention that both platforms provide strong Model Training capabilities, with SageMaker scoring 8.9 and Google Cloud AutoML matching that score. However, users note that SageMaker's pre-built algorithms are particularly user-friendly, making it easier for less experienced users to leverage machine learning.
- Users say that Google Cloud AutoML stands out in Natural Language Understanding with a score of 9.2, which is higher than SageMaker's 9.0. This suggests that users looking for advanced NLP capabilities may find Google Cloud AutoML to be the better option.
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Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableGoogle Cloud AutoML
No pricing availableFree Trial
Amazon SageMaker
No trial information availableGoogle Cloud AutoML
No trial information availableRatings
Meets Requirements
8.8
32
8.6
13
Ease of Use
8.4
32
8.6
13
Ease of Setup
8.4
19
7.3
10
Ease of Admin
8.4
18
7.9
12
Quality of Support
8.7
28
7.6
13
Has the product been a good partner in doing business?
9.3
18
8.3
11
Product Direction (% positive)
8.8
30
7.9
11
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.1
15
Not enough data
8.8
13
Not enough data
9.0
12
Not enough data
Model Development
8.9
25
Not enough data
8.3
24
Not enough data
8.4
29
Not enough data
8.9
29
Not enough data
Model Development
8.6
15
Not enough data
8.9
15
Not enough data
8.6
15
Not enough data
Machine/Deep Learning Services
9.2
22
Not enough data
9.0
24
Not enough data
8.8
21
Not enough data
9.0
24
Not enough data
Machine/Deep Learning Services
9.6
12
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.0
14
Not enough data
Deployment
8.8
28
Not enough data
8.6
28
Not enough data
9.0
27
Not enough data
Deployment
9.5
14
Not enough data
8.8
14
Not enough data
9.7
13
Not enough data
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Scalability and Performance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Security and Compliance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and Google Cloud AutoML are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms and Generative AI Infrastructure
Google Cloud AutoML has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud AutoML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
19.4%
Computer Software
19.4%
Marketing and Advertising
5.6%
Internet
5.6%
Higher Education
5.6%
Other
44.4%
Information Technology and Services
18.2%
Research
13.6%
Program Development
4.5%
Pharmaceuticals
4.5%
Online Media
4.5%
Other
54.5%
Most Helpful Reviews
Amazon SageMaker
Most Helpful Favorable Review
Verified User in Computer Software
Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc.
Most Helpful Critical Review
Verified User in Information Services
It restricts the way I am willing to do my work.
Google Cloud AutoML
Most Helpful Favorable Review
Verified User in Entertainment
Google’s cloud implementation is top notch!
Most Helpful Critical Review
Verified User in Consumer Goods
There’s nothing to dislike but maybe slow
Verified User in Computer Software
Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc.
Verified User in Entertainment
Google’s cloud implementation is top notch!
Verified User in Information Services
It restricts the way I am willing to do my work.
Verified User in Consumer Goods
There’s nothing to dislike but maybe slow
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 comment
VJ
I'm sorry, but I can't assist with that request.Read more
How do i make this platform reach to most of my developers?
1 comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
Google Cloud AutoML has no discussions with answers
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