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Amazon Bedrock vs Microsoft Azure 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
5.7
Amazon Bedrock offers cost-efficient usage-based charges but unexpected fees may impact perceived returns despite reduced manual intervention.
Sentiment score
7.2
Microsoft Azure saves costs and boosts efficiency with scalable cloud services, pay-as-you-go pricing, and reduced maintenance expenses.
The value for money is good, and Microsoft Azure has positively impacted our operational costs.
When we use Microsoft Azure, it provides enhanced security from our perspective, though I am not certain about the financial return on investment or benefits for our users as I do not have that information.
 

Customer Service

Sentiment score
7.0
Amazon Bedrock's customer service is highly rated for efficiency and responsiveness, with strong support and documentation quality.
Sentiment score
6.5
Customer service is mixed; paid support is praised for responsiveness, while free options may face delays and complexity.
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.
The support from Microsoft Azure is good.
Regarding technical support from Microsoft, I find they are responsive and helpful, depending on which support package you're on.
I rate technical support as excellent because we have not experienced many problems when calling for assistance.
 

Scalability Issues

Sentiment score
6.5
Amazon Bedrock excels in scalability using AWS, integrating well yet faces limitations like rate and token limits at hyperscale.
Sentiment score
7.8
Microsoft Azure excels in scalability and flexibility, supporting various workloads, though cost and limitations may concern some users.
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.
Microsoft Azure is not just one product; it is a platform with multiple products within Microsoft Azure, and I would say it is scalable and would rate it a nine.
The scalability of Microsoft Azure is excellent for growth and adaptation, depending on company requirements.
Scalability with Microsoft Azure is amazing, which is a primary reason for using cloud solutions.
 

Stability Issues

Sentiment score
7.8
Amazon Bedrock is reliable and stable, handling workloads seamlessly, maintaining performance, and achieving high user satisfaction ratings.
Sentiment score
7.8
Microsoft Azure is highly reliable and scalable, despite occasional outages; users confidently rate it high for stability and performance.
Microsoft Azure is quite stable, but recent outages and security issues have slightly decreased my confidence.
 

Room For Improvement

Users seek improvements in documentation, integration, pricing, UI, AI capabilities, and introduction of Amazon native models.
Microsoft Azure needs pricing transparency, intuitive interface, improved support, better technical features, and refined management tools for users.
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.
Recent outages and security issues are also a concern, causing a decrease in confidence, especially when partnering with third-party companies.
The administrative side is suitable for technical people, but our finance and HR super users find it less user-friendly, as they prefer drag-and-drop features to build their own solutions without contacting IT.
There is still room for improvement in terms of pricing.
 

Setup Cost

Amazon Bedrock offers flexible, consumption-based pricing, cost-effective for experimentation, though enterprise models can be expensive.
Microsoft Azure offers flexible, competitive pricing, yet complexity makes AWS and GCP potentially more cost-effective for enterprises.
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.
Microsoft solutions might be cheaper than some services like AWS, but some solutions may be more expensive depending on the services compared.
Copilot is expensive based on recent pricing for our POC.
Regarding the pricing for Microsoft Azure services, I would rate our satisfaction as very good.
 

Valuable Features

Amazon Bedrock offers secure, cost-effective AI model customization and seamless integration, enhancing performance and trust in deployments.
Microsoft Azure offers flexibility, scalability, global presence, integration, security, ease of use, and cost-effectiveness for enhanced organizational infrastructure.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
Our encryption keys are managed through Bedrock ecosystem by our clients.
Power BI, another feature of Azure, is extremely elegant and has robust features that support forecasting using R and Python.
Data integrations are particularly effective on Microsoft Azure, especially with our banner services that we automate through Power Automate.
Microsoft Azure's scalability feature obviously supports business growth by scaling with the growth of the business, which is great, and it also scales with your requirements and aligns with your data strategies.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
12th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
12
Ranking in other categories
AI Infrastructure (2nd)
Microsoft Azure
Ranking in Infrastructure as a Service Clouds (IaaS)
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
316
Ranking in other categories
PaaS Clouds (1st)
 

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.
SubodhThakar - PeerSpot reviewer
Integrates various functionalities and have good documentation but have high pricing
Cosmos DB offered better scalability. In Azure SQL, we had to carefully manage the storage tier, switching back and forth based on needs. But when we first implemented Cosmos DB, we had a good understanding of the required data volume over the past three months. This helped us select the appropriate tier because we had those figures. If we had done it the other way around, it would have been much harder to estimate the data accurately. While you can get a rough idea, whether it works out in practice is more of a hit-and-miss approach, which we have already experienced with Cosmos DB. We applied the knowledge gained from that exercise to build a similar solution over Azure SQL. On the DevOps side, our team consisted of five members, ranging from senior to junior roles. We would raise requests for specific services needed in the development environment. The process typically takes three to five business days, including all necessary approvals, from submitting the request to receiving the resources and verifying access.
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Comparison Review

it_user8586 - PeerSpot reviewer
Aug 14, 2013
Amazon vs Rackspace vs Microsoft vs Google: Cloud Hosting Services Comparison
Amazon Web Services, Rackspace OpenStack, Microsoft Windows Azure and Google are the major cloud hosting and storage service providers. Athough Amazon is top of them and is oldest in cloud market, Rackspace, Microsoft and Google are giving tough competition to each other and to Amazon also for…
 

Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
12%
Computer Software Company
10%
University
7%
Educational Organization
31%
Financial Services Firm
11%
Computer Software Company
9%
Manufacturing Company
8%
 

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...
Which is preferable - IBM Public Cloud or Microsoft Azure?
IBM Public Cloud is IBM’s Platform-as-a-Service. It aims to provide organizations with a secure cloud environment to manage data and applications. One of the features we like is the cloud activity ...
Which is better - SAP Cloud Platform or Microsoft Azure?
One of the best features of SAP Cloud Platform is that it is web-based and you can log in from anywhere in the world. SAP Cloud Platform is suitable for companies of any size; it works well with bo...
How does Microsoft Azure compare to Google Firebase?
I would recommend Google Firebase instead of Microsoft Azure, simply for the array of features that it has to offer. In particular, the Firebase library grants you access to a shared data structure...
 

Also Known As

No data available
Windows Azure, Azure, MS Azure
 

Overview

 

Sample Customers

Information Not Available
BMW, Toyota, easyJet, NBC Sports, HarperCollins, Aviva, TalkTalk Business, Avanade, and Telenor.
Find out what your peers are saying about Amazon Bedrock vs. Microsoft Azure and other solutions. Updated: June 2025.
859,438 professionals have used our research since 2012.