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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
3.9
Amazon Bedrock offers cost-efficiency with a usage-based model, despite some initial billing issues affecting financial benefits.
Sentiment score
5.7
Organizations achieve ROI by migrating to Google Cloud, reducing costs, enhancing efficiency, and leveraging cost-effective and free features.
 

Customer Service

Sentiment score
6.2
Amazon Bedrock's support is responsive and effective, highly rated for addressing issues quickly, though some areas need improvement.
Sentiment score
6.4
Google Cloud support varies, with mixed experiences; many value documentation, some prefer partners, and response improvements are needed.
We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
My experience with the technical support has been very good because they resolved my billing issue within a day.
I consider them good partners when it comes to support.
We have consulted Google support several times, and we received a quick response.
Cloud support directly is not strong, but via partners is strong.
 

Scalability Issues

Sentiment score
6.0
Amazon Bedrock offers scalable solutions with AWS integration, facing limitations like rate limits and pricing concerns at hyperscale.
Sentiment score
7.7
Google Cloud is praised for its scalability and affordability, suitable for enterprise use, despite some cost concerns.
It is scalable on a truly global basis.
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.
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.
This solution is suitable for enterprise-level organizations, particularly in finance and healthcare domains where there is substantial data volume.
 

Stability Issues

Sentiment score
7.2
Amazon Bedrock is praised for its reliability, security, seamless scalability, and stable performance, highly rated by users.
Sentiment score
8.2
Google Cloud is generally stable and reliable, though some users note limited issue visibility and minor performance differences.
The stability of Amazon Bedrock is good as I have not faced any issues.
 

Room For Improvement

Amazon Bedrock needs better documentation, integration, pricing, and enhanced AI capabilities to meet user demands for efficiency and accessibility.
Google Cloud needs improved user-friendliness, cost transparency, multilingual resources, integration, security, and support for right-to-left languages.
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.
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.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
If the hierarchy or similarities were the same, that would help developers more conveniently migrate from a traditional SQL server to BigQuery.
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

Enterprise users appreciate Amazon Bedrock's flexible pricing, but some experience high costs, necessitating careful design to optimize expenses.
Google Cloud's pricing is scalable and efficient but needs more flexibility, transparency, and modular offerings to satisfy users fully.
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 enhances security, scalability, and efficiency with customizable AI models, seamless integration, and powerful computational resources.
Google Cloud offers ease of use, scalability, robust hosting, excellent security, and seamless service integration with global accessibility.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
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.
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.
We mainly use Google Cloud products that are centered around Data Warehouse, specifically BigQuery.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
12th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
AI Infrastructure (2nd)
Google Cloud
Ranking in Infrastructure as a Service Clouds (IaaS)
5th
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
77
Ranking in other categories
PaaS Clouds (4th)
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
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
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
Computer Software Company
12%
Manufacturing Company
12%
Financial Services Firm
11%
University
8%
Manufacturing Company
16%
Financial Services Firm
13%
Educational Organization
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise8
Large Enterprise32
 

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?
The only aspect that could be improved about Amazon Bedrock is the pricing. There are no additional features or improvements needed for the product itself.
What is your primary use case for Amazon Bedrock?
Amazon Bedrock is one of the services which is similar to ChatGPT. From my perspective, I was creating a version of ChatGPT that would answer my customers' questions. The significant difference bet...
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?
Since I'm working with BigQuery, I had to invest time to become familiar with the system. As I was working in SQL server previously, I had an idea that we would have a server, and inside the server...
What is your primary use case for Google Cloud?
I currently work with Google Cloud, mainly with BigQuery. I have recently started, approximately three months ago. I primarily use Google Cloud for BigQuery operations and data storage, similar to ...
 

Overview

Find out what your peers are saying about Amazon Bedrock vs. Google Cloud and other solutions. Updated: September 2025.
867,349 professionals have used our research since 2012.