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- Amazon SageMaker
- Google Cloud AutoML
- Amazon SageMaker-vs-Google Cloud AutoML
Compare Amazon SageMaker and Google Cloud AutoML 
At a Glance
Market Segments
Small-Business (34.1% of reviews)
Small-Business (36.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(44)4.3 out of 5
Market Segments
Small-Business (34.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerGoogle Cloud AutoML
Star Rating
(25)4.2 out of 5
Market Segments
Small-Business (36.0% 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 for seamless handling of large datasets and complex models. Google Cloud AutoML, however, shines even brighter with a score of 9.7, indicating superior scalability options for users.
- G2 users highlight the Ease of Setup in Amazon SageMaker, scoring 8.4, as a significant advantage, especially for small businesses. Conversely, Google Cloud AutoML's score of 7.3 suggests that users may face more challenges during initial setup.
- Users on G2 report that Amazon SageMaker's Quality of Support is commendable, with a score of 8.7, indicating responsive and helpful customer service. In comparison, Google Cloud AutoML's support, scoring 7.6, may not meet the same level of user satisfaction.
- Reviewers mention that SageMaker's Data Ingestion & Wrangling capabilities, scoring 8.1, are effective but could be improved. Google Cloud AutoML, while not explicitly rated in this area, is often praised for its user-friendly data handling features, suggesting a more intuitive experience.
- Users say that both platforms offer strong Machine/Deep Learning Services, but Google Cloud AutoML stands out with higher scores in specific areas like Natural Language Understanding (9.2) and Computer Vision (9.6), indicating a broader range of pre-built models that cater to diverse user needs.
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
8.7
36
8.8
16
Ease of Use
8.5
37
8.6
16
Ease of Setup
8.6
24
7.8
13
Ease of Admin
8.4
20
8.2
14
Quality of Support
8.6
32
7.7
16
Has the product been a good partner in doing business?
9.2
20
8.6
13
Product Direction (% positive)
9.0
35
8.3
14
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
Not enough data
Not enough data
Not enough data
Not enough data
System
8.1
18
Not enough data
8.9
16
Not enough data
9.1
15
Not enough data
Model Development
8.9
28
Not enough data
8.2
27
Not enough data
8.4
32
Not enough data
8.9
32
Not enough data
Model Development
8.6
18
Not enough data
8.8
18
Not enough data
8.4
18
Not enough data
Machine/Deep Learning Services
8.9
25
Not enough data
9.1
27
Not enough data
8.9
24
Not enough data
9.0
27
Not enough data
Machine/Deep Learning Services
9.7
15
Not enough data
9.2
16
Not enough data
9.0
16
Not enough data
9.1
17
Not enough data
Deployment
8.7
31
Not enough data
8.6
31
Not enough data
9.1
30
Not enough data
Deployment
9.1
17
Not enough data
8.5
17
Not enough data
9.2
16
Not enough data
Generative AI
8.7
5
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
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
17.1%
Computer Software
17.1%
Marketing and Advertising
4.9%
Internet
4.9%
Hospital & Health Care
4.9%
Other
51.2%
Information Technology and Services
16.0%
Research
12.0%
Consulting
4.0%
Retail
4.0%
Program Development
4.0%
Other
60.0%
Most Helpful Reviews
Amazon SageMaker
Most Helpful Favorable Review
maría jose g.
Verified User in Computer Software
I love this platform is so simple because it allows me as a developer to create data in a simple way I do not have to work in a tedious way implementing algorithms because it gives me everything is so simple it saves me many hours of work because with it I...
Most Helpful Critical Review
Femina B.
Verified User in Marketing and Advertising
i wanted to work on passing and image. or video input and get the image output out of it but was not really helpful as it takes the data in excel format and then we have to save it in s3 bucket. it retrives he data from it but not sure how to pass on in...
Google Cloud AutoML
Most Helpful Favorable Review
Roberto H.
Verified User in Program Development
This helped our company improve decision-making more quickly and easily. Faced with a set of data of interest, AutoML extracts the dataset of interest from users and determines a high-performance network architecture. It is the quick and easy way to start...
Most Helpful Critical Review
Verified User in Consumer Goods
There’s nothing to dislike but maybe slow
maría jose g.
Verified User in Computer Software
I love this platform is so simple because it allows me as a developer to create data in a simple way I do not have to work in a tedious way implementing algorithms because it gives me everything is so simple it saves me many hours of work because with it I...
Roberto H.
Verified User in Program Development
This helped our company improve decision-making more quickly and easily. Faced with a set of data of interest, AutoML extracts the dataset of interest from users and determines a high-performance network architecture. It is the quick and easy way to start...
Femina B.
Verified User in Marketing and Advertising
i wanted to work on passing and image. or video input and get the image output out of it but was not really helpful as it takes the data in excel format and then we have to save it in s3 bucket. it retrives he data from it but not sure how to pass on in...
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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