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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
4.1
Amazon Bedrock offers cost-efficiency and accessibility, enabling affordable experimentation with large models while optimizing resources with pay-per-use.
Sentiment score
5.1
Transitioning to Google Cloud boosts efficiency with faster deployments and reduced costs, despite unclear measurable returns.
Amazon Bedrock enabled the use of huge models and the democratization of their use at comparatively low cost, if we host these models in the company.
Data Scientist Team Lead at Venarisecurity
 

Customer Service

Sentiment score
5.7
Amazon Bedrock support is highly rated for quick, effective help, especially in AI integration and ecosystem queries.
Sentiment score
6.1
Users have mixed experiences with Google Cloud support; some praise efficiency, while others rely on external resources or partners.
We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.
Diretor at Hat Thinking
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
Advisory Board Member at AllmaGen, Inc.
My experience with the technical support has been very good because they resolved my billing issue within a day.
Cloud Architect at Acmegrade
I consider them good partners when it comes to support.
Presales Engineer at 2P - Perfect Presentation
We have consulted Google support several times, and we received a quick response.
Technology Manager at Publicis Sapient
Google's technical support is highly expert and proficient.
IT Service Delivery Manager at NGK
 

Scalability Issues

Sentiment score
5.6
Amazon Bedrock excels in scalability and integration but faces challenges and costs at hyperscale, with potential for improvement.
Sentiment score
7.7
Google Cloud provides excellent scalability and integration, allowing businesses to easily manage growth, despite potential extra costs.
It is scalable on a truly global basis.
Advisory Board Member at AllmaGen, Inc.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
Solutions Architect & PMO at AS TV Play Baltics/TV3 Group
It scales well with AWS Lambda, AWS Transcribe, and Polly.
Senior Software Developer at a tech vendor with 10,001+ employees
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.
Technology Manager at Publicis Sapient
Google Cloud is highly scalable, and we have not faced any issues with its scalability.
IT Service Delivery Manager at NGK
This solution is suitable for enterprise-level organizations, particularly in finance and healthcare domains where there is substantial data volume.
RPA developer at a healthcare company with 10,001+ employees
 

Stability Issues

Sentiment score
7.2
Amazon Bedrock excels in stability and reliability, effectively handling scalability and security with consistently positive user experiences.
Sentiment score
8.2
Google Cloud is highly stable, with users rating it highly despite occasional notifications and varying service speeds.
The stability of Amazon Bedrock is good as I have not faced any issues.
Cloud Architect at Acmegrade
 

Room For Improvement

Amazon Bedrock needs improved documentation, pricing, generative AI, security, interface, integration, availability, and transparent pricing for competitiveness.
Users criticize Google Cloud for its complexity, pricing, security, and integration, seeking enhanced usability, support, and cost efficiency.
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.
Advisory Board Member at AllmaGen, Inc.
For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture.
Diretor at Hat Thinking
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
Senior Software Developer at a tech vendor with 10,001+ employees
If the hierarchy or similarities were the same, that would help developers more conveniently migrate from a traditional SQL server to BigQuery.
RPA developer at a healthcare company with 10,001+ employees
Providing more hypervisors would be beneficial.
Presales Engineer at 2P - Perfect Presentation
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.
Technology Manager at Publicis Sapient
 

Setup Cost

Amazon Bedrock offers flexible, competitive pricing but may incur high costs for extensive data use or enterprise features.
Google Cloud offers competitive, flexible pricing with reasonable costs, though some users seek better cost transparency and more storage options.
Our cost is incredibly low, operating for a few hundred dollars a month in production.
Advisory Board Member at AllmaGen, Inc.
One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.
Assistant Manager - Sales at Velocis Systems
The pricing and licensing of Amazon Bedrock are quite flexible.
Solutions Architect & PMO at AS TV Play Baltics/TV3 Group
As far as I know, it is a little more expensive compared to other cloud options.
Presales Engineer at 2P - Perfect Presentation
Compared to buying new hardware, Google Cloud offers flexible options for scaling up or down, making it more convenient.
IT Service Delivery Manager at NGK
 

Valuable Features

Amazon Bedrock provides secure, customizable AI with easy integration, scalable models, and cost-efficient usage for rapid development and trust.
Google Cloud excels with ease of use, scalability, and robust security, supporting diverse applications and efficient data analytics.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
Solutions Architect & PMO at AS TV Play Baltics/TV3 Group
The valuable features that have helped in leveraging generative AI for operational efficiency improvements include customization capabilities, various types of models suitable for specific use cases, and the integration of knowledge bases.
Cloud Architect at Acmegrade
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
Assistant Manager - Sales at Velocis Systems
The most valuable features of Google Cloud for us are the integration with Kubernetes, IAM, Istio integration, and Terraform capabilities.
Technology Manager at Publicis Sapient
If customers use different technologies within their environment, GCP cannot offer a full performance analysis covering all the disclosures.
Presales Engineer at 2P - Perfect Presentation
I find Google Cloud to be more manageable and cost-effective compared to other solutions.
IT Service Delivery Manager at NGK
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
10th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
17
Ranking in other categories
AI Infrastructure (1st)
Google Cloud
Ranking in Infrastructure as a Service Clouds (IaaS)
4th
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
79
Ranking in other categories
PaaS Clouds (4th)
 

Mindshare comparison

As of January 2026, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Amazon Bedrock is 1.8%, up from 0.2% compared to the previous year. The mindshare of Google Cloud is 4.2%, down from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS) Market Share Distribution
ProductMarket Share (%)
Google Cloud4.2%
Amazon Bedrock1.8%
Other94.0%
Infrastructure as a Service Clouds (IaaS)
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
Diretor at Hat Thinking
Advanced integration and flexible architecture drive efficient business solutions
I have to gain more maturity to provide some improvements to Amazon Bedrock. I have a lot to do with the environment they already provided. For example, they are able to connect to any LLM solution such as Llama, Meta, Gemini, or ChatGPT. It is open; you just choose your favorite LLM solution, and you can integrate it into Amazon Bedrock. We have a lot of possibilities to do this integration at this moment; we just need to work on it, create more maturity, and then we can provide some enhancements that we can see on the solution as a whole. For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture. They wonder if they are providing some company information that can run away, and I think that is the challenge we have now. We need to find ways to work on it and make our clients' data secure. They are looking for that to guarantee that this is a great solution for companies that is also secure.
Saurav Singh - PeerSpot reviewer
Technology Manager at Publicis Sapient
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.
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
10%
University
7%
Manufacturing Company
17%
Financial Services Firm
13%
Comms Service Provider
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise8
Large Enterprise32
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Bedrock?
The price of invoking the model is considerably better compared to hosting the model with our local resources. This is an advantage for Amazon Bedrock.
What needs improvement with Amazon Bedrock?
Currently, I do not have any negative points in mind about Amazon Bedrock because I think Amazon Bedrock and other services are good. We have to use OpenSearch as well. We have not implemented RAG ...
What is your primary use case for Amazon Bedrock?
I am currently working on Amazon Bedrock Agent Core. We have created a data pipeline where we are using Amazon Bedrock Agent Core primarily for transformation. We use the agent for custom rules, tr...
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?
Currently, there are no specific functionalities or features I would like to see improved in Google Cloud. Everything is up and running smoothly, and we are working on integrating a couple of proje...
What is your primary use case for Google Cloud?
Our primary use case for Google Cloud involves infrastructure management. We host several virtual machines (VMs), manage network infrastructure, and use Google Workspace along with a few applicatio...
 

Overview

Find out what your peers are saying about Amazon Bedrock vs. Google Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.