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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
Organizations benefit from Google Cloud by shortening project timelines and utilizing cost-free tools, achieving substantial time and cost savings.
 

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
6.6
Google Cloud's support is seen as competent but often criticized for slow response times and separate cost requirements.
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.
 

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's scalability and Kubernetes integration enable effortless expansion, appealing to users despite cost considerations.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
It is scalable on a truly global basis.
 

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 praised for reliability, scoring high in stability, but some note rare service-specific issues compared to competitors.
 

Room For Improvement

Users seek improvements in documentation, integration, pricing, UI, AI capabilities, and introduction of Amazon native models.
Google Cloud needs improvements in usability, cost, support, integration, security, training, resources, language support, and service expansion.
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.
 

Setup Cost

Amazon Bedrock offers flexible, consumption-based pricing, cost-effective for experimentation, though enterprise models can be expensive.
Google Cloud offers flexible pay-as-you-go pricing, but some users find it pricier than competitors like Azure and AWS.
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.
The pricing and licensing of Amazon Bedrock are quite flexible.
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 powerful features like user-friendliness, scalability, security, and managed services, appealing to diverse developer and user needs.
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.
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)
13th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
11
Ranking in other categories
AI Infrastructure (3rd)
Google Cloud
Ranking in Infrastructure as a Service Clouds (IaaS)
5th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
74
Ranking in other categories
PaaS Clouds (6th)
 

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.
RaidHammouri - PeerSpot reviewer
Monitoring solution enhances cost efficiency with good internal tools
In terms of Google services, providing more hypervisors would be beneficial. Currently, in my region, they don't offer many services as they have just started. They have some local instances, yet improvements are needed in the tools and offers provided to customers. I currently only use, for example, a native hybrid. VMware is not available, and other hypervisors are still not there. They need to wait on that.
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Top Industries

By visitors reading reviews
Manufacturing Company
18%
Financial Services Firm
14%
Computer Software Company
13%
Transportation Company
9%
Educational Organization
46%
Manufacturing Company
10%
Financial Services Firm
8%
Computer Software Company
5%
 

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 and licensing of Amazon Bedrock are quite flexible.
What needs improvement with Amazon Bedrock?
Currently, I do not have any thoughts about what areas of Amazon Bedrock need improvement.
What is your primary use case for Amazon Bedrock?
I am using Amazon Bedrock ( /products/amazon-bedrock-reviews ) mainly to do some analysis of customer support calls.
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?
In terms of Google services, providing more hypervisors would be beneficial. Currently, in my region, they don't offer many services as they have just started. They have some local instances, yet i...
What is your primary use case for Google Cloud?
My platform offers a monitoring solution for the virtual machines hosted in GCP. GCP is one of the firms that I work with. For customers who use GCP as an infrastructure service, software as a serv...
 

Overview

Find out what your peers are saying about Amazon Bedrock vs. Google Cloud and other solutions. Updated: April 2025.
849,686 professionals have used our research since 2012.