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Compare AWS Bedrock and Google Cloud AI Infrastructure 
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At a Glance
Market Segments
Enterprise (38.6% of reviews)
Small-Business (47.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Bedrock
Star Rating
(44)4.4 out of 5
Market Segments
Enterprise (38.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about AWS BedrockGoogle Cloud AI Infrastructure
Star Rating
(43)4.5 out of 5
Market Segments
Small-Business (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AI InfrastructureSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that AWS Bedrock excels in AI model training scalability with a score of 8.8, allowing enterprises to efficiently scale their models. In contrast, Google Cloud AI Infrastructure, while strong, has not been highlighted as significantly in this area.
- Reviewers mention that Google Cloud AI Infrastructure offers superior ease of use with a score of 9.2 compared to AWS Bedrock's 8.3, making it a more user-friendly option for small businesses and new users.
- G2 users highlight the quality of support for Google Cloud AI Infrastructure, scoring 9.1, which is notably higher than AWS Bedrock's 8.6. This suggests that users may find more responsive and helpful support with Google Cloud.
- Users on G2 report that AWS Bedrock has a robust AI multi-cloud support feature, scoring 8.6, which is essential for enterprises looking to integrate across different platforms. Google Cloud AI Infrastructure, while capable, does not emphasize this feature as strongly.
- Reviewers say that Google Cloud AI Infrastructure shines in AI GDPR and regulatory compliance with a score of 9.0, indicating a strong focus on security and compliance, which is crucial for businesses handling sensitive data.
- Users report that AWS Bedrock's AI cost per API call is rated at 8.1, which may be a concern for budget-conscious enterprises, while Google Cloud AI Infrastructure does not have a specific score listed, suggesting potential advantages in cost efficiency that users may want to explore further.
Pricing
Entry-Level Pricing
AWS Bedrock
No pricing availableGoogle Cloud AI Infrastructure
No pricing availableFree Trial
AWS Bedrock
No trial information availableGoogle Cloud AI Infrastructure
No trial information availableRatings
Meets Requirements
8.6
44
9.0
39
Ease of Use
8.1
44
9.0
41
Ease of Setup
8.4
43
9.0
36
Ease of Admin
9.0
15
9.0
12
Quality of Support
8.5
43
8.7
37
Has the product been a good partner in doing business?
8.5
14
9.2
12
Product Direction (% positive)
9.5
43
9.7
40
Features by Category
Scalability and Performance - Generative AI Infrastructure
8.9
14
9.1
22
8.5
13
9.2
22
8.2
14
9.0
22
Cost and Efficiency - Generative AI Infrastructure
8.1
14
8.3
23
8.5
14
8.4
22
7.9
14
8.7
20
Integration and Extensibility - Generative AI Infrastructure
8.6
14
8.5
21
8.8
14
8.2
23
8.2
14
8.6
23
Security and Compliance - Generative AI Infrastructure
8.6
14
8.7
21
8.7
14
8.4
22
8.5
14
8.4
21
Usability and Support - Generative AI Infrastructure
7.7
14
8.4
21
7.7
14
8.5
21
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.0
5
Not enough data
7.3
5
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
8.7
5
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.7
5
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
8.3
5
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.0
5
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Customization - AI Agent Builders
7.9
7
Not enough data
7.6
7
Not enough data
7.7
8
Not enough data
Functionality - AI Agent Builders
7.5
8
Not enough data
7.4
7
Not enough data
7.4
7
Not enough data
8.1
7
Not enough data
Data and Analytics - AI Agent Builders
8.1
7
Not enough data
8.1
7
Not enough data
9.3
7
Not enough data
Integration - AI Agent Builders
8.3
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.5
6
Not enough data
Categories
Categories
Shared Categories
AWS Bedrock and Google Cloud AI Infrastructure are categorized as Generative AI Infrastructure
Unique Categories
AWS Bedrock is categorized as Large Language Model Operationalization (LLMOps) and AI Agent Builders
Google Cloud AI Infrastructure has no unique categories
Reviews
Reviewers' Company Size
AWS Bedrock
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud AI Infrastructure
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
22.7%
Computer Software
18.2%
Financial Services
6.8%
Consulting
4.5%
Retail
4.5%
Other
43.2%
Information Technology and Services
23.8%
Computer Software
16.7%
Consulting
4.8%
Marketing and Advertising
4.8%
Leisure, Travel & Tourism
4.8%
Other
45.2%
Discussions
AWS Bedrock has no discussions with answers
Google Cloud AI Infrastructure has no discussions with answers
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