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Amazon Bedrock Reviews

Vendor: Amazon Web Services (AWS)
4.0 out of 5
Badge Ranked 1
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What is Amazon Bedrock?

Amazon Bedrock offers comprehensive model customization and integration with AWS services, making AI development more flexible for users. It streamlines content generation and model fine-tuning with a focus on security and cost efficiency.

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Amazon Bedrock is the #1 ranked solution in top AI Infrastructure solutions and #11 ranked solution in top Infrastructure as a Service Clouds. PeerSpot users give Amazon Bedrock an average rating of 8.0 out of 10. Amazon Bedrock is most commonly compared to Microsoft Azure: Amazon Bedrock vs Microsoft Azure. Amazon Bedrock is popular among the large enterprise segment, accounting for 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 11% of all views.
Buyer's Guide
Amazon Bedrock
December 2025
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Amazon Bedrock mindshare

Product category:
Infrastructure as a Service Clouds (I...
As of December 2025, the mindshare of Amazon Bedrock in the Infrastructure as a Service Clouds (IaaS) category stands at 1.9%, up from 0.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Infrastructure as a Service Clouds (IaaS) Market Share Distribution
ProductMarket Share (%)
Amazon Bedrock1.9%
Amazon AWS17.0%
Microsoft Azure12.0%
Other69.1%
Infrastructure as a Service Clouds (IaaS)

PeerResearch reports based on Amazon Bedrock reviews

TypeTitleDate
CategoryInfrastructure as a Service Clouds (IaaS)Dec 29, 2025Download
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonAmazon Bedrock vs Microsoft AzureDec 29, 2025Download
ComparisonAmazon Bedrock vs Amazon AWSDec 29, 2025Download
ComparisonAmazon Bedrock vs Akamai Connected Cloud (Linode)Dec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Azure4.212.0%95%323 interviewsAdd to research
Oracle Cloud Infrastructure (OCI)3.96.2%92%98 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 14, 2025

Valuable Features

Amazon Bedrock's most valuable features include robust security and versatility. Users appreciate easy integration with existing infrastructure and cost efficiency through serverless architecture. It offers a comprehensive range of pre-trained models and customization options, enabling effective customization and process efficiency. Bedrock provides a user-friendly platform with seamless integration into business operations, supports multiple model types for diverse needs, and allows API access to powerful language models, significantly enhancing scalability, accessibility, and trust in AI deployments.
  • "Amazon Bedrock is very easy to configure and launch, and it takes care of the creation of Docker images with CodeBuild and putting the images into the ECR repository very simply and easily with the help of Agent Core and Amazon Bedrock Agent Core."
  • "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."
  • "Amazon Bedrock's main value lies in its LLM capabilities; these are not generally things you can host easily on SageMaker, and you have to build up custom environments, particularly if you want access to the proprietary models."

Room for Improvement

Amazon Bedrock requires improvements in documentation, integration, pricing, and user interface. There are calls for enhanced agentic Gen AI applications and markdown support. The need for hyperscale optimization and broader marketplace availability is noted. Improved API functionality, clearer pricing details, and added security features are suggested. Overall integration complexity presents challenges, necessitating more accessible end-to-end setups. Enhanced user-friendliness, prompt engineering, and consistent access to models across regions are desired.
  • "The end-to-end application setup integration was very difficult."
  • "As I recall now, I found some limitations or some models are not present in Amazon Bedrock sometimes while they are present in other platforms."
  • "What could be improved for Amazon Bedrock to make it more mature is that AWS needs to consider bringing their platforms together, and not having different ML and AI platforms."

ROI

Amazon Bedrock offers a high return on investment with its cost-efficient model, allowing users to experiment with foundation models at low cost. Manual intervention is reduced, cutting case processing time by up to 45%, covering costs through efficiency savings. Savings include time and resource efficiency, with competitive functionality for requests and tokens. Users benefit from using large models at low cost, with flexibility to switch models easily, although some incurred charges before deployment.

Pricing

Amazon Bedrock's pricing presents a mixed experience for enterprises. While its utilization-based model offers flexibility and competitive rates, unexpected charges and reliance on CPU and memory can escalate costs. Many find it cost-effective for experimenting with foundation models rather than deploying at scale. Pricing varies depending on the LLM model used, influencing overall expenditure. Some users find the licensing costs reasonable, while others see them as high, with surprising charges impacting budgets.
  • "One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs."
  • "The cost of using Amazon Bedrock is quite high, as I incurred unexpected charges amounting to $130 USD within two weeks without actually deploying the model."

Popular Use Cases

Amazon Bedrock is primarily utilized for integrating AI into client offerings, enabling applications through foundational Gen AI models, and deploying large language models. It facilitates tasks like vector embeddings, sentiment analysis, creating chatbots, generating AI-driven content, and processing invoices. It serves various roles, including data transformation, integrating proprietary models, knowledge base creation, and leveraging APIs to access multiple AI models. Its usage extends to OCR solutions, generating SQL queries, and enhancing enterprise processes.

Service and Support

Amazon Bedrock customer service is generally rated high, with quick and helpful responses noted. Some users benefited from personal contacts at AWS and independent solutions via the portal. Challenges exist with newer AI platforms, requiring self-built components. Documentation is well-received, though users suggest improvements for tools like Text and Kendra. Training videos as a resource could enhance user experience. AI integration accelerates task completion, but support variations depend on personnel interactions.

Deployment

Amazon Bedrock's initial setup can vary in complexity. Some find it straightforward and user-friendly, especially familiar with the AWS ecosystem. Others face challenges, particularly with integration and security configurations. Setup is intuitive for those with AWS and Python expertise, taking minutes. Yet, for teams without experience, solving issues might span months. While deployment speed is quick for some, factors like enterprise capabilities and unexpected charges may complicate the process for others.

Scalability

Amazon Bedrock is largely scalable, benefiting from AWS's infrastructure. It integrates smoothly with other AWS services and handles increased data volume efficiently. Users identify some limitations like rate and token limits which are standard in the industry. AWS support aids in scalability, though some suggest more flexibility in account limits. Pricing scales with traffic. Challenges exist when aiming for hyperscale, requiring possible alternative tactics. Usage experiences vary, with many rating scalability positively.

Stability

Many find Amazon Bedrock reliable and stable, consistent with AWS's reputation. Users report no significant issues or performance dips, appreciating its scalability and security. Some note the importance of proper model selection but generally rate stability highly, with some giving it ten out of ten. It's mentioned Amazon Bedrock handles increasing workloads effectively. No customers have reported complaints, and it consistently returns results without errors or timeouts. Many users express satisfaction with the platform's stability.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Amazon Bedrock Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business55
Midsize Enterprise25
Large Enterprise133
By visitors reading reviews

Top industries

By visitors reading reviews
Manufacturing Company
11%
Computer Software Company
11%
Financial Services Firm
10%
University
7%
Media Company
6%
Comms Service Provider
5%
Outsourcing Company
5%
Retailer
4%
Transportation Company
4%
Healthcare Company
4%
Real Estate/Law Firm
4%
Educational Organization
3%
Construction Company
2%
Consumer Goods Company
2%
Non Profit
2%
Government
2%
Logistics Company
2%
Aerospace/Defense Firm
2%
Recreational Facilities/Services Company
2%
Pharma/Biotech Company
1%
Local Government
1%
Wholesaler/Distributor
1%
Hospitality Company
1%
Insurance Company
1%
Performing Arts
1%
Energy/Utilities Company
1%
Legal Firm
1%

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Learn more about Amazon Bedrock

Amazon Bedrock is engineered to provide a seamless AI integration experience with a strong emphasis on security and user-friendliness. It simplifies AI development by offering foundational models and managed scaling, enhancing both trust and operational efficiency. With its versatile model customization and ease of integration, Bedrock reduces the need for extensive infrastructure management. It supports businesses in deploying pre-trained models, performing generative AI tasks, and improving analytics through AI technologies such as chatbots, sentiment analysis, and data formatting.

What are the key features of Amazon Bedrock?
  • Security: Ensures robust data protection and confidentiality.
  • Versatile Model Customization: Allows tailoring of AI models to specific needs.
  • Integration with AWS Services: Enhances operational processes with seamless AWS integrations.
  • Managed Scaling: Offers automatic scaling without the need for extensive infrastructure management.
  • User-Friendliness: Simplifies AI development processes for users.
What benefits should users look for in the reviews?
  • Cost Efficiency: Reduces expenses while maximizing output.
  • Operational Efficiency: Streamlines AI processes and reduces workload.
  • Enhanced Security: Increases trust with strong data protection measures.
  • Ease of Use: Minimizes the complexity of AI implementation.

Amazon Bedrock is applied across industries for implementing AI-driven solutions like enhancing customer service with chatbots and improving data analysis with sentiment analysis tools. Businesses create knowledge bases, automate business processes, and utilize pre-trained models for tasks such as invoice processing and customer call analysis. Its integration with large language models assists in text and image generation, offering diverse AI capabilities adaptable to industry needs.

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Product Categories

Product Categories
Infrastructure as a Service Clouds (IaaS)
AI Infrastructure

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Amazon Bedrock Reviews Summary
Author infoRatingReview Summary
Diretor at Hat Thinking4.0Amazon Bedrock simplifies processing incoming invoices for a logistics company by easily integrating various LLMs without infrastructure concerns. While the platform accelerates architecture creation, security remains a primary concern, requiring enhancements to ensure data protection for company information.
Advisory Board Member at AllmaGen, Inc.4.5We use Amazon Bedrock to enhance our business processes, offering robust AI model deployment and secure data handling. While Bedrock supports third-party models, we hope for more Amazon native models that integrate seamlessly with SageMaker for improved performance.
AI Engineer at a consultancy with 10,001+ employees4.0I've been using Amazon Bedrock Agent Core for data transformation and AI workflows; it's easy to configure and integrates well, though setting up end-to-end applications was challenging. Overall, I'd rate it seven out of ten.
Cloud Architect at Acmegrade4.0I used Amazon Bedrock to build a customized AI for my wine website; its scalability, model variety, and knowledge base integration were valuable, though setup was complex and pricing could improve. Overall, it met my specific business needs.
Data Scientist Team Lead at Venarisecurity4.0I've mainly used Amazon Bedrock for LLM invocation and report generation, appreciating its ease and cost-effectiveness, though I found limitations in agentic AI support, model availability, and regional restrictions at the time of use.
Senior Software Developer at a tech vendor with 10,001+ employees3.5We use Amazon Bedrock on AWS for generative AI tasks, leveraging Anthropic Claude LLM to answer user questions efficiently. It's beneficial that we only pay for the model used, but AWS lacks prompt engineering methods, which would simplify development.
Assistant Manager - Sales at Velocis Systems5.0I've used Amazon Bedrock to develop solutions like an image generator and a chatbot for school ERP systems. Its customizable foundational model and no-code features are valuable, though the management console's user interface could use some improvement.
Data Lake and MLOps Lead at a energy/utilities company with 10,001+ employees3.0I’ve used Amazon Bedrock for 18 months and find its LLM capabilities valuable, but integration is complex, scalability is challenging, and support is inconsistent; overall, I rate it 6 out of 10 for maturity and usability.