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Amazon Bedrock vs Google Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 16, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.8
Amazon Bedrock offers cost-efficient usage-based charges but unexpected fees may impact perceived returns despite reduced manual intervention.
Sentiment score
6.9
ROI from Google Cloud emerges through faster deployment, cost-effective features, free services, and fair pricing, enhancing value.
 

Customer Service

Sentiment score
7.9
Amazon Bedrock's customer service is highly rated for efficiency and responsiveness, with strong support and documentation quality.
Sentiment score
6.7
Google Cloud support is efficient but variable, with some delays; reliability may reduce need, extra purchases are sometimes required.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
I consider them good partners when it comes to support.
We have consulted Google support several times, and we received a quick response.
 

Scalability Issues

Sentiment score
7.1
Amazon Bedrock excels in scalability using AWS, integrating well yet faces limitations like rate and token limits at hyperscale.
Sentiment score
7.8
Google Cloud offers high scalability, ease of integration, and flexible cost-effective solutions, making it superior to other providers.
It is scalable on a truly global basis.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
If I had to rate scalability from one to ten, I would rate it a nine as we have never faced any issues with scalability.
 

Stability Issues

Sentiment score
8.6
Amazon Bedrock is reliable and stable, handling workloads seamlessly, maintaining performance, and achieving high user satisfaction ratings.
Sentiment score
8.1
Google Cloud is highly rated for stability, with users appreciating its reliability and consistent performance despite minor issues.
 

Room For Improvement

Users seek improvements in documentation, integration, pricing, UI, AI capabilities, and introduction of Amazon native models.
Google Cloud needs improved user-friendliness, integration, analytics, UI, training, pricing, stability, security, language support, and customer tools.
In AgenTek AI business, the only foundation models we can rely on for scaling now are the Cloud 3.5 models like Haiku and SONNET, designed for low latency and complex AI business use cases.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
The user interface of Amazon Bedrock on the management console needs improvements.
Providing more hypervisors would be beneficial.
The logging could be improved; there's currently no intuitive way to filter logs on the Google console, especially for individuals who are not familiar with query languages.
 

Setup Cost

Amazon Bedrock offers flexible, consumption-based pricing, cost-effective for experimentation, though enterprise models can be expensive.
Google Cloud is cost-effective with flexible pricing, but users desire greater transparency and more flexible options.
Our cost is incredibly low, operating for a few hundred dollars a month in production.
One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.
It follows a pay-as-you-go model, with different pricing for context and versions like 1.2, 2.3, and 3.1.
As far as I know, it is a little more expensive compared to other cloud options.
 

Valuable Features

Amazon Bedrock offers secure, cost-effective AI model customization and seamless integration, enhancing performance and trust in deployments.
Google Cloud offers scalable, reliable, and secure solutions with user-friendly design for developers, ideal for machine learning and data analytics.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
Amazon Bedrock offers an environment where we only pay for the model we use, and AWS handles the scaling.
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
The most valuable features of Google Cloud for us are the integration with Kubernetes, IAM, Istio integration, and Terraform capabilities.
If customers use different technologies within their environment, GCP cannot offer a full performance analysis covering all the disclosures.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
12th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
11
Ranking in other categories
AI Infrastructure (2nd)
Google Cloud
Ranking in Infrastructure as a Service Clouds (IaaS)
6th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
75
Ranking in other categories
PaaS Clouds (4th)
 

Featured Reviews

Charles Powell - PeerSpot reviewer
Very good security features for strengthened data protection
I am not going to speak to their roadmap. Amazon operates Bedrock as an ecosystem supporting third-party models. I am speculating here, but I am sure those third-party models will always be present. However, one must consider that Amazon native models could proliferate Bedrock in the future. We would welcome Amazon native models to Bedrock, since, if they are natively built by Amazon, they are tuned to SageMaker and other Amazon service layers. They have done this somewhat for generative AI, however, in AgenTek AI business, the only foundation models we can rely on for scaling now are the Cloud 3.5 models like Haiku and SONNET, designed for low latency and complex AI business use cases.
Saurav Singh - PeerSpot reviewer
Integration with Kubernetes and flexibility improve our application deployment process
The logging could be improved; there's currently no intuitive way to filter logs on the Google console, especially for individuals who are not familiar with query languages. Our non-technical users find it difficult to access logs. Additionally, the user interface could be more user-friendly and intuitive compared to our previous experience with AWS ( /products/amazon-aws-reviews ).
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
13%
Computer Software Company
11%
University
8%
Educational Organization
36%
Manufacturing Company
12%
Financial Services Firm
9%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Bedrock?
The pricing depends on the LLM model in use, such as the 1.2 Anthropic Claude ( /products/claude-reviews ). Costs are based on the number of characters obtained in return. It follows a pay-as-you-g...
What needs improvement with Amazon Bedrock?
AWS ( /products/amazon-aws-reviews ) could add prompt engineering methods to its services. Currently, there are no prompt methods, so we have to experiment on our own. If AWS provided methods, like...
What is your primary use case for Amazon Bedrock?
We are using Amazon Bedrock ( /products/amazon-bedrock-reviews ) for generative AI-related tasks. We utilize Anthropic Claude ( /products/claude-reviews ) LLM to obtain appropriate answers for user...
What do you like most about Google Cloud?
Google Cloud is perceived as a cost-effective and user-friendly option, especially compared to AWS. The current affordability and ease of use make it suitable for medium-sized companies. While the ...
What needs improvement with Google Cloud?
The logging could be improved; there's currently no intuitive way to filter logs on the Google console, especially for individuals who are not familiar with query languages. Our non-technical users...
What is your primary use case for Google Cloud?
Our primary use case for Google Cloud ( /products/google-cloud-reviews ) is deploying applications. Our applications are deployed on Google Cloud ( /products/google-cloud-reviews ), and we use it t...
 

Overview

Find out what your peers are saying about Amazon Bedrock vs. Google Cloud and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.