Amazon Bedrock vs Oracle Network Cloud Service comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Infrastructure as a Service Clouds (IaaS) category. Amazon Web Services (AWS) is ranked #12 with an average rating of 8.3, while Oracle is ranked #32. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Amazon Bedrock

Read 13 Amazon Bedrock reviews

760 Views
410 Comparison Views

100% willing to recommend

Oracle Network Cloud Service

Read 1 Oracle Network Cloud Service review

150 Views
137 Comparison Views

100% willing to recommend

Amazon Bedrock

Oracle Network Cloud Service

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Executive Summary

We performed a comparison between Amazon Bedrock and Oracle Network Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Akamai and others in Infrastructure as a Service Clouds (IaaS).

To learn more, read our detailed Infrastructure as a Service Clouds (IaaS) Report (Updated: July 2025).

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July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Bedrock

Ranking in Infrastructure as a Service Clouds (IaaS)

12th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

AI Infrastructure (2nd)

Oracle Network Cloud Service

Ranking in Infrastructure as a Service Clouds (IaaS)

32nd

Average Rating

10.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

RodrigoBassani

Diretor at Hat Thinking

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.

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Khalil AbdulrahmanAlasbahi

Commercial Manager at Natco Information technology

Excellent support but it is a costly solution

The solution is working okay. But we are facing issues with the network because in our country, Yemen, we have some trouble. The country is very crazy because of the war we have. So, we are facing issues with the network. Most of the customers complain about the network communicating with the Cloud. We went with the Oracle solution for Interconnect because they are the preferred solution for that. But it is very unstable and the customer refuses to deal with it. They cannot do anything because Oracle recommends a stable network but we do not have that.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The valuable feature of Bedrock is its flexibility and comprehensiveness in what it's offering, providing parameters that we can change."

"It is the best solution in this category and is rated a nine out of ten."

"The most beneficial aspect of Bedrock is its pool of models to choose from, catering to specific needs."

"The most valuable feature of Bedrock is its security and the model's ability to modify vector dimensions easily."

"Amazon Bedrock is an artificial intelligence engine that allows me to upload analyses of the quality of customer support calls."

"Bedrock offers various foundational models in one place."

"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."

"The no-code application of the service is beneficial since it allows creating solutions without extensive coding knowledge."

More Amazon Bedrock pros

"The initial setup was straightforward."

Cons

"It would be beneficial if Amazon Bedrock could provide multiple responses to a query, allowing users to choose the best option."

"The advantage of Bedrock is not as an amazing enabler of AI platforms, yet we utilize it to deploy application services and microservices within Bedrock ecosystem and leverage prequalified foundation models like Claude and others."

"Bedrock could be improved by having an API that allows for easy integration with services outside of Bedrock."

"Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement."

"One area for improvement is in cost—it tends to be a bit on the higher side, especially for enterprise versions."

"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."

"Overall, I rate Amazon Bedrock a seven out of ten. It is slightly difficult to integrate with our product."

"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."

More Amazon Bedrock cons

"Most of the customers complain about the network communicating with the Cloud."

Pricing and Cost Advice

"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."

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Manufacturing Company

12%

Financial Services Firm

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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What needs improvement with Amazon Bedrock?

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What is your primary use case for Amazon Bedrock?

The principal use case for Amazon Bedrock that we are working on is regarding a logistic company that has a flow where they receive emails to look for incoming invoices. We have an architecture tha...

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Comparisons

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Compared 27% of the time

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Compared 20% of the time

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Compared 14% of the time

NVIDIA DGX Cloud vs Amazon Bedrock

Compared 10% of the time

Alibaba Cloud vs Amazon Bedrock

Compared 9% of the time

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Compared 100% of the time

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Product Reports

Buyer's Guide

Amazon Bedrock

July 2025

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Buyer's Guide

Infrastructure as a Service Clouds (IaaS)

July 2025

Download Oracle Network Cloud Service product report

Overview

Amazon Bedrock enhances AI integration by providing a suite of foundational models with customization options. It simplifies data integration and offers security, traceability, and cost-efficiency through its serverless architecture.

Amazon Bedrock empowers users by offering models from multiple providers, ensuring model flexibility and ease of use. It supports quick development for applications such as vector search and SQL query generation. While the system is beneficial for AI integration and analytics enhancement, there is a desire for improved documentation, smoother integration, and more competitive pricing. Additional integration points, markdown features, and support for voice and images could enhance its use. Users also seek to optimize for hyperscale use and receive multiple responses for creative tasks.

What are the key features of Amazon Bedrock?

Security: Provides robust measures to ensure data protection.
Model Flexibility: Allows customization of foundational models.
Serverless Architecture: Offers cost-efficient, scalable resources.
Provider Access: Connects with models from different vendors.

What benefits should be considered?

Model Modification: Enables quick adjustments to suit needs.
Development Speed: Facilitates fast application development.
AI Integration: Integrates seamlessly into existing offerings.

In industries like data analytics and software development, Amazon Bedrock is implemented for tasks such as deploying large language models, performing sentiment analysis, and creating chatbots. It's used for generating AI-driven text and images, and enhancing data retrieval via SQL query generation.

Amazon Web Services (AWS)

Oracle Network Cloud Service is a dedicated, reliable, and standardsbased solution to access your Oracle Cloud Services. FastConnect helps you overcome the unpredictable nature of the Internet. It creates high-speed connectivity, allowing you to predictably, securely, and consistently exchange large volumes of data between your private and public clouds.

Oracle

Buyer's Guide

Infrastructure as a Service Clouds (IaaS)

July 2025

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