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Pros & Cons summary

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Prominent pros & cons

PROS

Amazon Bedrock's most valuable features include its security and flexibility, with model modification and integration capabilities that cater to specific needs.
It offers a variety of foundational models in a single platform, allowing for efficient access to powerful machine learning models without building from scratch.
Data encryption is managed during transit and at rest, ensuring reliable security protocols and user data protection.
Bedrock's scalability and ease of access, alongside numerous pre-trained models, offer significant benefits for handling diverse tasks.
It democratizes the use of extensive models at a low cost, simplifying configuration processes with integrated tools like CodeBuild and ECR repository services.

CONS

There is a need for improved documentation and smoother integration, with a focus on agentic Gen AI applications.
Cost tends to be high, particularly for enterprise versions, and sometimes incurs charges not explicitly mentioned in the pricing.
A more optimized setup for hyperscale use is needed to avoid mixed approaches with SageMaker.
There are security concerns, as companies are not confident their information is fully protected.
The initial setup is complex and requires integration with multiple services, sometimes lacking certain models available on other platforms.
 

Amazon Bedrock Pros review quotes

reviewer2590239 - PeerSpot reviewer
Full-stack Developer - Node | Android | AWS | Java at a tech company with 11-50 employees
Oct 31, 2024
The most valuable feature of Bedrock is its security and the model's ability to modify vector dimensions easily.
reviewer2592177 - PeerSpot reviewer
AWS GenAI Data Engineer at a computer software company with 51-200 employees
Nov 8, 2024
Bedrock offers various foundational models in one place.
Alex Tjahjana - PeerSpot reviewer
Founder at IT Account 4 U Ltd
Nov 11, 2024
Amazon Bedrock is easy to use and practical, allowing for quick development.
Learn what your peers think about Amazon Bedrock. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
879,711 professionals have used our research since 2012.
reviewer2592534 - PeerSpot reviewer
Data Scientist at a marketing services firm with 1-10 employees
Nov 11, 2024
The most beneficial aspect of Bedrock is its pool of models to choose from, catering to specific needs.
AM
Architect at IGT Solutions
Nov 12, 2024
The valuable feature of Bedrock is its flexibility and comprehensiveness in what it's offering, providing parameters that we can change.
TM
Data Scientist
Nov 27, 2024
The integration with pre-trained AI models has been very beneficial, allowing me to quickly access powerful machine learning models without the need to build them from scratch.
ME
AWS cloud AI & data scientist at a tech services company with 51-200 employees
Nov 25, 2024
Bedrock proved beneficial for generating SQL queries, which helped in delivering precise information from the database.
Mehul Raj - PeerSpot reviewer
Assistant Manager - Sales at Velocis Systems
Dec 30, 2024
The no-code application of the service is beneficial since it allows creating solutions without extensive coding knowledge.
Charles Powell - PeerSpot reviewer
Advisory Board Member at AllmaGen, Inc.
Jan 21, 2025
Data encryption while in transit and at rest is managed through Bedrock account.
Wojciech Doganowski - PeerSpot reviewer
Solutions Architect & PMO at AS TV Play Baltics/TV3 Group
Mar 7, 2025
Amazon Bedrock is an artificial intelligence engine that allows me to upload analyses of the quality of customer support calls.
 

Amazon Bedrock Cons review quotes

reviewer2590239 - PeerSpot reviewer
Full-stack Developer - Node | Android | AWS | Java at a tech company with 11-50 employees
Oct 31, 2024
There is a need for improved documentation, smoother integration, and possibly reduced prices given the competition.
reviewer2592177 - PeerSpot reviewer
AWS GenAI Data Engineer at a computer software company with 51-200 employees
Nov 8, 2024
I would appreciate a greater focus on agentic Gen AI applications in Bedrock.
Alex Tjahjana - PeerSpot reviewer
Founder at IT Account 4 U Ltd
Nov 11, 2024
It would be beneficial if Bedrock were optimized for hyperscale use to avoid needing a mixed approach with SageMaker.
Learn what your peers think about Amazon Bedrock. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
879,711 professionals have used our research since 2012.
reviewer2592534 - PeerSpot reviewer
Data Scientist at a marketing services firm with 1-10 employees
Nov 11, 2024
Bedrock could be improved by having an API that allows for easy integration with services outside of Bedrock.
AM
Architect at IGT Solutions
Nov 12, 2024
One area for improvement is in cost—it tends to be a bit on the higher side, especially for enterprise versions.
TM
Data Scientist
Nov 27, 2024
While working with Bedrock, I incurred charges that were not explicitly mentioned in the pricing documentation.
ME
AWS cloud AI & data scientist at a tech services company with 51-200 employees
Nov 25, 2024
It would be beneficial if Amazon Bedrock could provide multiple responses to a query, allowing users to choose the best option.
Mehul Raj - PeerSpot reviewer
Assistant Manager - Sales at Velocis Systems
Dec 30, 2024
The user interface of Amazon Bedrock on the management console needs improvements.
Charles Powell - PeerSpot reviewer
Advisory Board Member at AllmaGen, Inc.
Jan 21, 2025
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.
Wojciech Doganowski - PeerSpot reviewer
Solutions Architect & PMO at AS TV Play Baltics/TV3 Group
Mar 7, 2025
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.