Compare AWS Bedrock and Vertex AI 
At a Glance
Market Segments
Enterprise (48.3% of reviews)
Small-Business (38.4% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
AWS Bedrock
Star Rating
(29)4.4 out of 5
Market Segments
Enterprise (48.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS BedrockVertex 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 AI Data Encryption, achieving a score of 9.2, which reviewers mention provides robust security for sensitive data. In contrast, AWS Bedrock's score of 7.6 indicates room for improvement in this critical area.
- Reviewers mention that Vertex AI's AI Model Training Scalability, rated at 8.5, allows for efficient handling of large datasets, while AWS Bedrock's slightly higher score of 8.8 suggests it may offer better scalability options for enterprise-level applications.
- Users on G2 highlight that Vertex AI's AI High Availability feature, scoring 9.2, ensures minimal downtime, which is crucial for businesses relying on continuous AI operations. AWS Bedrock, with a score of 8.6, may not provide the same level of reliability.
- Reviewers say that both platforms offer strong AI Text Generation capabilities, but AWS Bedrock's score of 8.4 is slightly lower than Vertex AI's 8.3, indicating that users may find Vertex AI's text generation features more satisfactory.
- G2 users report that Vertex AI's AI API Support and Flexibility, rated at 8.5, is a standout feature, allowing for seamless integration with existing systems. In comparison, AWS Bedrock's score of 7.6 suggests it may have limitations in this area.
- Users say that Vertex AI's AI GDPR and Regulatory Compliance score of 8.6 is a significant advantage for businesses concerned about data privacy, while AWS Bedrock's score of 7.9 indicates it may not fully meet all compliance needs.
Featured Products
Sponsored
Squirro
(8)
Machine Learning
Visit Website
Pricing
Entry-Level Pricing
AWS Bedrock
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
AWS Bedrock
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
8.7
29
8.6
286
Ease of Use
8.4
29
8.2
293
Ease of Setup
8.5
28
8.1
215
Ease of Admin
8.7
10
7.9
121
Quality of Support
8.6
29
8.1
267
Has the product been a good partner in doing business?
8.5
10
8.1
116
Product Direction (% positive)
9.6
28
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
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.2
111
Not enough data
8.2
113
Not enough data
7.9
108
Model Development
Not enough data
8.4
139
Not enough data
7.8
116
Not enough data
8.4
137
Not enough data
8.4
140
Model Development
Not enough data
8.4
106
Not enough data
8.3
110
Not enough data
8.4
106
Machine/Deep Learning Services
Not enough data
8.3
138
Not enough data
8.6
134
Not enough data
8.3
133
Not enough data
8.3
116
Machine/Deep Learning Services
Not enough data
8.4
109
Not enough data
8.6
106
Not enough data
8.4
104
Not enough data
8.4
105
Deployment
Not enough data
8.2
132
Not enough data
8.3
133
Not enough data
8.5
132
Deployment
Not enough data
8.3
105
Not enough data
8.3
105
Not enough data
8.4
106
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
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
AWS Bedrock and Vertex AI are categorized as Large Language Model Operationalization (LLMOps) and Generative AI Infrastructure
Unique Categories
AWS Bedrock has no unique categories
Vertex AI is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, and AI Agent Builders
Reviews
Reviewers' Company Size
AWS Bedrock
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
31.0%
Computer Software
13.8%
Retail
6.9%
Program Development
6.9%
Information Services
6.9%
Other
34.5%
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
AWS Bedrock
Most Helpful Favorable Review
Samyak S.
Verified User in Information Technology and Services
AWS Bedrock makes it easy to bring generative AI into your business without getting bogged down in infrastructure details. It offers access to powerful AI models from top providers, like Anthropic and Amazon’s own Titan models, giving you flexibility to...
Most Helpful Critical Review
Vertex AI
Most Helpful Favorable Review
Verified User in Construction
Unified Platform: Vertex AI brings together various ML components into a single platform, making it easier to manage and monitor the entire process. Scalability: It effortlessly handles large datasets and complex models, allowing for efficient scaling...
Most Helpful Critical Review
Verified User in Computer Software
It is not very user friendly, and does not have a GUI to submit my training job.
Samyak S.
Verified User in Information Technology and Services
AWS Bedrock makes it easy to bring generative AI into your business without getting bogged down in infrastructure details. It offers access to powerful AI models from top providers, like Anthropic and Amazon’s own Titan models, giving you flexibility to...
Verified User in Construction
Unified Platform: Vertex AI brings together various ML components into a single platform, making it easier to manage and monitor the entire process. Scalability: It effortlessly handles large datasets and complex models, allowing for efficient scaling...
Verified User in Computer Software
It is not very user friendly, and does not have a GUI to submit my training job.
Alternatives
Discussions
AWS Bedrock has no 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
