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Amazon

Amazon Bedrock

Composite Score

7.3 /10

CX Score

7.7 /10

7 Reviews Write a Review

What is Amazon Bedrock?

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs). Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.

Company Details

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Amazon Bedrock Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

84 Likeliness to Recommend

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon Bedrock?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 76

Pre-Packaged AI/ML Services

Model Tuning

Data Exploration and Visualization

Openness and Flexibility

Performance and Scalability

Ensembling

Data Pre-Processing

Model Training

Algorithm Diversity

Data Ingestion

Model Monitoring and Management

Vendor Capability Ratings

Average 80

Ease of Implementation

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Business Value Created

Availability and Quality of Training

Ease of IT Administration

Quality of Features

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Amazon Bedrock Reviews

Sandip D.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Aug 2025

It's a playground of different ai models.

Likeliness to Recommend

4 /10

What differentiates Amazon Bedrock from other similar products?

Other services give you just one ai model. Bedrock is different. It gives me access to a whole menu of different models from different companies, all in one place.

What is your favorite aspect of this product?

I love that i can experiment with different models to find the best one for my specific task. I can try a model from ai21, anthropic, and amazon all with the same api. It's so flexible.

What do you dislike most about this product?

The pricing can be very confusing with all the different models and billing options.

What recommendations would you give to someone considering this product?

If you are a developer who wants to experiment with different ai models, this is a dream come true.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Unique Features

Cons

Leverages Incumbent Status

How We Deliver

Events

Amazon Bedrock

What is Amazon Bedrock?

Company Details

Need Assistance?

Amazon Bedrock Ratings

84 Likeliness to Recommend

100 Plan to Renew

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Amazon Bedrock?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Ensembling 'Ability to combine ML models for best results.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Model Training Ability to train a model with a range of data sets that you provide.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Amazon Bedrock Reviews

Sandip D.

It's a playground of different ai models.

Likeliness to Recommend

Pros

Cons

Schedule Your Call

Feature Ratings

Pre-Packaged AI/ML Services

Model Tuning

Data Exploration and Visualization

Openness and Flexibility

Performance and Scalability

Ensembling

Data Pre-Processing

Model Training

Algorithm Diversity

Data Ingestion

Model Monitoring and Management

Vendor Capability Ratings

Ease of Implementation

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Business Value Created

Availability and Quality of Training

Ease of IT Administration

Quality of Features

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement