Amazon Bedrock vs DigitalOcean comparison

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Amazon Bedrock

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Executive SummaryUpdated on Dec 16, 2024

DigitalOcean and Amazon Bedrock compete in cloud platforms aimed at scalable computing resources. Amazon Bedrock appears to have an upper hand due to its advanced AI capabilities justifying its higher price point.

Features: DigitalOcean is known for its simplicity and ease of use, functioning primarily through its Droplets and Kubernetes services that allow for quick application deployments. Amazon Bedrock provides an array of AI capabilities, natural language processing, and close integration with AWS services. Amazon Bedrock's advanced AI and machine learning features distinguish it in data analytics, while DigitalOcean delivers efficient cloud infrastructure services at competitive prices.

Room for Improvement: DigitalOcean could enhance its platform by expanding its advanced computational and AI features, integrating with more third-party services, and improving complex data handling capabilities. Amazon Bedrock may benefit from streamlining its user experience, simplifying its initial setup to reduce the learning curve, and optimizing cost efficiency to attract smaller businesses.

Ease of Deployment and Customer Service: DigitalOcean offers intuitive deployment with a simple control panel and comprehensive documentation, making it suitable for SMEs seeking rapid deployment. Conversely, Amazon Bedrock requires familiarization with AWS's ecosystem, presenting more robust deployment capabilities but demanding more significant expertise, suited for larger enterprises with available IT resources.

Pricing and ROI: DigitalOcean offers lower initial costs, presenting an immediate ROI for companies requiring basic cloud solutions, while Amazon Bedrock, although necessitating a higher upfront investment, can yield substantial returns through its AI and machine learning capabilities in the long run. DigitalOcean focuses on affordability, whereas Amazon Bedrock attracts through its potential for ongoing returns tailored to complex enterprise needs.

To learn more, read our detailed Amazon Bedrock vs. DigitalOcean Report (Updated: July 2025).

Amazon Bedrock vs. DigitalOcean

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:

ROI

Sentiment score

3.9

Amazon Bedrock offers cost-efficiency with a usage-based model, despite some initial billing issues affecting financial benefits.

Sentiment score

6.1

Users generally found DigitalOcean cost-effective, noticing initial savings, though some lacked details to quantify exact financial impact.

No quotes available

For more quotes and insights, download the Amazon Bedrock report

No quotes available

For more quotes and insights, download the DigitalOcean report

Customer Service

Sentiment score

6.2

Amazon Bedrock's support is responsive and effective, highly rated for addressing issues quickly, though some areas need improvement.

Sentiment score

6.5

DigitalOcean's customer service is responsive yet inconsistent, needing improved technical support and quicker resolutions compared to AWS.

We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.

RodrigoBassani

Diretor at Hat Thinking

So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.

For more quotes and insights, download the Amazon Bedrock report

Advisory Board Member at AllmaGen, Inc.

My experience with the technical support has been very good because they resolved my billing issue within a day.

Manoday Ahire

Cloud Architect at Acmegrade

DigitalOcean support is rated lower than AWS's because we encounter issues more frequently.

For more quotes and insights, download the DigitalOcean report

Lead Developer at aimleap

Scalability Issues

Sentiment score

6.0

Amazon Bedrock offers scalable solutions with AWS integration, facing limitations like rate limits and pricing concerns at hyperscale.

Sentiment score

7.2

DigitalOcean is highly rated for scalability, offering tools to manage increased loads and easily add resources like RAM or CPUs.

It is scalable on a truly global basis.

For more quotes and insights, download the Amazon Bedrock report

Advisory Board Member at AllmaGen, Inc.

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

Wojciech Doganowski

Solutions Architect & PMO at AS TV Play Baltics/TV3 Group

It scales well with AWS Lambda, AWS Transcribe, and Polly.

Anubhav Garg

Senior Software Developer at Accenture

I have not tried vertical scaling yet, but from the documentation, it seems very easy to scale the system.

For more quotes and insights, download the DigitalOcean report

Senior Software Engineer at Checkit

Stability Issues

Sentiment score

7.2

Amazon Bedrock is praised for its reliability, security, seamless scalability, and stable performance, highly rated by users.

Sentiment score

7.8

DigitalOcean offers reliable stability, though some users note occasional downtimes and performance fluctuations based on extended use.

The stability of Amazon Bedrock is good as I have not faced any issues.

Manoday Ahire

Cloud Architect at Acmegrade

For more quotes and insights, download the Amazon Bedrock report

DigitalOcean is quite stable, and I would rate its stability at nine out of ten.

Senior Software Engineer at Checkit

It is approximately 50 to 60% stable, reaching 60 to 70% depending on usage levels.

For more quotes and insights, download the DigitalOcean report

Lead Developer at aimleap

Room For Improvement

Amazon Bedrock needs better documentation, integration, pricing, and enhanced AI capabilities to meet user demands for efficiency and accessibility.

DigitalOcean struggles with performance, customer dissatisfaction, and service issues, prompting calls for improved features and better support.

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 more quotes and insights, download the Amazon Bedrock report

Advisory Board Member at AllmaGen, Inc.

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.

RodrigoBassani

Diretor at Hat Thinking

If AWS provided methods, like five or six prompts that yield specific results, it would ease development.

Anubhav Garg

Senior Software Developer at Accenture

DigitalOcean could offer a pay-as-you-go model similar to AWS, where I would pay for what I use rather than having fixed payments.

Senior Software Engineer at Checkit

There are issues where even with 8 GB RAM, the performance doesn't meet expectations.

For more quotes and insights, download the DigitalOcean report

Lead Developer at aimleap

The lack of a proper service provider model ultimately led us to cease operations with DigitalOcean.

MohamedHamed

Commercial Manager at Uranium For IT Solutions

Setup Cost

Enterprise users appreciate Amazon Bedrock's flexible pricing, but some experience high costs, necessitating careful design to optimize expenses.

DigitalOcean's pricing ranges from $5 to $50 monthly, with costs depending on configuration and perceived as competitive by some.

Our cost is incredibly low, operating for a few hundred dollars a month in production.

For more quotes and insights, download the Amazon Bedrock report

Advisory Board Member at AllmaGen, Inc.

One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.

Mehul Raj

Assistant Manager - Sales at Velocis Systems

The pricing and licensing of Amazon Bedrock are quite flexible.

Wojciech Doganowski

Solutions Architect & PMO at AS TV Play Baltics/TV3 Group

DigitalOcean offers affordable pricing, especially for startups.

For more quotes and insights, download the DigitalOcean report

Senior Software Engineer at Checkit

Valuable Features

Amazon Bedrock enhances security, scalability, and efficiency with customizable AI models, seamless integration, and powerful computational resources.

DigitalOcean provides reliable, cost-effective servers with an intuitive interface, database management, flexible hosting, and easy installation.

It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.

Wojciech Doganowski

Solutions Architect & PMO at AS TV Play Baltics/TV3 Group

The valuable features that have helped in leveraging generative AI for operational efficiency improvements include customization capabilities, various types of models suitable for specific use cases, and the integration of knowledge bases.

Manoday Ahire

Cloud Architect at Acmegrade

The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.

Mehul Raj

Assistant Manager - Sales at Velocis Systems

For more quotes and insights, download the Amazon Bedrock report

The droplet feature is valuable for hosting my applications as it is particularly cost-effective and serves my needs well.

Senior Software Engineer at Checkit

The most significant aspect is that we can connect directly to the system from anywhere.

For more quotes and insights, download the DigitalOcean report

Lead Developer at aimleap

The team was particularly satisfied with the flexibility of the service and the rules for managing virtual machines on DigitalOcean.

MohamedHamed

Commercial Manager at Uranium For IT Solutions

Categories and Ranking

Amazon Bedrock

Ranking in Infrastructure as a Service Clouds (IaaS)

12th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

AI Infrastructure (2nd)

DigitalOcean

Ranking in Infrastructure as a Service Clouds (IaaS)

14th

Average Rating

8.2

Reviews Sentiment

7.0

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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Enjoy cost-effective hosting with flexible deployment and room for payment model improvement

Senior Software Engineer at Checkit

I use only one feature, which is the droplet, and it has been satisfactory. The droplet feature is valuable for hosting my applications as it is particularly cost-effective and serves my needs well. I also have total freedom over what I use, and I have a better user interface and documentation compared to Oracle.

Read full review

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Manufacturing Company

12%

Financial Services Firm

University

Computer Software Company

13%

Manufacturing Company

Financial Services Firm

University

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?

The only aspect that could be improved about Amazon Bedrock is the pricing. There are no additional features or improvements needed for the product itself.

What is your primary use case for Amazon Bedrock?

Amazon Bedrock is one of the services which is similar to ChatGPT. From my perspective, I was creating a version of ChatGPT that would answer my customers' questions. The significant difference bet...

What do you like most about DigitalOcean?

It's been a good choice for us for some services. We generally have several deployments. For instance, for some static Angular applications, it was a clear choice to run them on Cloudflare, which p...

What needs improvement with DigitalOcean?

There are disadvantages, such as machines getting stuck or disconnected, requiring restarts. Sometimes we lose connection and need to check with the IT service provider from the DigitalOcean servic...

What is your primary use case for DigitalOcean?

We use DigitalOcean mostly for RDS services and cloud-related systems where we want to deploy codes and run them using nginx or other services where it is cheaper to use, and we use it to extract d...

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Product Reports

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Amazon Bedrock

August 2025

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August 2025

Also Known As

No data available

Digital Ocean

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)

DigitalOcean has the fastest and most convenient cloud technology to help you easily and more efficiently manage your infrastructure so you can get back to coding. We provide all of our users with high-performance SSD Hard Drives, a flexible API, and the ability to select the nearest data center location.

Sample Customers

Information Not Available

jQuery Foundation, Pertino, TaskRabbit, Compose, InfluxDB, The Able Few