- Home
- ...
- Data Science and Machine Learning Platforms
- Amazon SageMaker
- Vertex AI
- Amazon SageMaker-vs-Vertex AI
Compare Amazon SageMaker and Vertex AI 
At a Glance
Market Segments
Small-Business (36.1% of reviews)
Small-Business (38.4% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
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 SageMakerVertex AI
Star Rating
(511)4.3 out of 5
Market Segments
Small-Business (38.4% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Vertex AI excels in its AI Model Training Scalability with a score of 8.5, allowing for efficient handling of large datasets, while Amazon SageMaker shines in AI Inference Speed with a score of 8.6, making it ideal for real-time applications.
- Reviewers mention that Vertex AI's Drag and Drop feature is rated at 7.9, which some find less intuitive compared to Amazon SageMaker's 8.3 rating, indicating a smoother user experience for building models.
- G2 users highlight that Amazon SageMaker offers superior Security Guardrails with a score of 9.5, providing robust compliance features, while Vertex AI's score of 8.2 suggests it may not meet the same level of security expectations.
- Users on G2 appreciate Vertex AI's AI Data Encryption capabilities, scoring 9.2, which is crucial for data privacy, whereas Amazon SageMaker's score of 8.2 indicates it may not provide the same level of encryption assurance.
- Reviewers say that Vertex AI's Quality of Support is rated at 8.2, which some users find lacking compared to Amazon SageMaker's 8.7, suggesting that users may receive more responsive assistance with SageMaker.
- Users report that both platforms have similar scores for Pre-Built Algorithms at 8.4, but Amazon SageMaker's additional features in Natural Language Processing with a score of 9.0 are noted as a significant advantage for users focused on NLP tasks.
Featured Products
Sponsored
Squirro
(8)
Machine Learning
Visit Website
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableVertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Amazon SageMaker
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
8.8
32
8.6
286
Ease of Use
8.4
32
8.2
293
Ease of Setup
8.4
19
8.1
215
Ease of Admin
8.4
18
7.9
121
Quality of Support
8.7
28
8.1
267
Has the product been a good partner in doing business?
9.3
18
8.1
116
Product Direction (% positive)
8.8
30
9.1
279
Features by Category
Deployment
Not enough data
8.4
59
Not enough data
8.4
60
Not enough data
8.4
60
Not enough data
8.4
56
Not enough data
8.8
56
Deployment
Not enough data
8.6
60
Not enough data
8.4
59
Not enough data
8.4
58
Not enough data
8.6
58
Not enough data
8.8
56
Management
Not enough data
8.4
56
Not enough data
8.5
55
Not enough data
8.2
56
Not enough data
8.2
56
Operations
Not enough data
8.3
56
Not enough data
8.6
57
Not enough data
8.5
57
Management
Not enough data
8.3
55
Not enough data
8.5
56
Not enough data
8.4
55
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
System
8.1
15
8.2
111
8.8
13
8.2
113
9.0
12
7.9
108
Model Development
8.9
25
8.4
139
8.3
24
7.8
116
8.4
29
8.4
137
8.9
29
8.4
140
Model Development
8.6
15
8.4
106
8.9
15
8.3
110
8.6
15
8.4
106
Machine/Deep Learning Services
9.2
22
8.3
138
9.0
24
8.6
134
8.8
21
8.3
133
9.0
24
8.3
116
Machine/Deep Learning Services
9.6
12
8.4
109
9.2
13
8.6
106
9.0
13
8.4
104
9.0
14
8.4
105
Deployment
8.8
28
8.2
132
8.6
28
8.3
133
9.0
27
8.5
132
Deployment
9.5
14
8.3
105
8.8
14
8.3
105
9.7
13
8.4
106
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
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Cost and Efficiency - Generative AI Infrastructure
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Integration and Extensibility - Generative AI Infrastructure
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Security and Compliance - Generative AI Infrastructure
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Usability and Support - Generative AI Infrastructure
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Integration - Machine Learning
Not enough data
8.4
33
Learning - Machine Learning
Not enough data
8.5
33
Not enough data
8.6
33
Not enough data
8.9
33
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.5
101
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
7
Not enough data
9.3
7
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
7
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
7
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.5
7
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
7
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
7
Not enough data
9.5
7
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
9.4
6
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.7
6
Not enough data
9.7
6
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.8
7
Not enough data
9.3
7
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
7
Customization - AI Agent Builders
Not enough data
8.6
6
Not enough data
7.2
6
Not enough data
8.6
6
Functionality - AI Agent Builders
Not enough data
8.6
6
Not enough data
6.4
6
Not enough data
9.4
6
Not enough data
6.7
6
Data and Analytics - AI Agent Builders
Not enough data
8.1
6
Not enough data
8.6
6
Not enough data
8.6
6
Integration - AI Agent Builders
Not enough data
9.4
6
Not enough data
8.3
6
Not enough data
7.5
6
Not enough data
8.1
6
Categories
Categories
Shared Categories
Amazon SageMaker and Vertex AI are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, and Generative AI Infrastructure
Unique Categories
Amazon SageMaker has no unique categories
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Machine Learning, and AI Agent Builders
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
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%
Computer Software
16.5%
Information Technology and Services
13.6%
Financial Services
7.1%
Retail
4.1%
Consulting
3.5%
Other
55.1%
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.
Vertex AI
Most Helpful Favorable Review
Verified User in Financial Services
Integration to multiple models and Workspace
Most Helpful Critical Review
Verified User in Retail
There are too many parameters and settings to adjust or set.
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 Financial Services
Integration to multiple models and Workspace
Verified User in Information Services
It restricts the way I am willing to do my work.
Verified User in Retail
There are too many parameters and settings to adjust or set.
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
What is Google Cloud AI Platform used for?
2 comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
2 comments
JP
It's supporting approx all trending libraries.Read more
What is Google AI platform?
1 comment
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
