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: April 2025).

Amazon Bedrock vs. DigitalOcean

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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)

13th

Average Rating

8.4

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

AI Infrastructure (3rd)

DigitalOcean

Ranking in Infrastructure as a Service Clouds (IaaS)

14th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Charles Powell

Advisory Board Member at AllmaGen, Inc.

Very good security features for strengthened data protection

I am not going to speak to their roadmap. Amazon operates Bedrock as an ecosystem supporting third-party models. I am speculating here, but I am sure those third-party models will always be present. However, one must consider that 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. They have done this somewhat for generative AI, however, 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.

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Michael Olayemi

Senior Software Engineer at Checkit

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

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.

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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

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

"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."

"Amazon Bedrock is easy to use and practical, allowing for quick development."

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

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

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

"Data encryption while in transit and at rest is managed through Bedrock account."

"Overall, I rate Amazon Bedrock ten out of ten."

More Amazon Bedrock pros

"The solution's app platform simplifies many tasks a developer must handle manually. For instance, when serving a website, the app platform uses NGINX to manage the app's serving, caching, and automatic rerunning in case of failure."

"The customer support team are very responsive."

"The solution is easy to set up."

"The technical support services are good."

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

"The user interface is nice, and it is very easy to use. Anyone can use it."

"DigitalOcean is much cheaper compared to Oracle, Amazon, and Google, making it a better option for a startup."

"The most outstanding aspect of DigitalOcean is its user interface and ease of use. Compared to more complex solutions, such as AWS, DigitalOcean's platform is highly intuitive and user-friendly."

More DigitalOcean pros

Cons

"There is a need for improved documentation, smoother integration, and possibly reduced prices given the competition."

"The user interface of Amazon Bedrock on the management console needs improvements. It's very bland at the moment."

"I would appreciate a greater focus on agentic Gen AI applications in Bedrock."

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

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

"The user interface of Amazon Bedrock on the management console needs improvements."

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

"It would be beneficial if Bedrock were optimized for hyperscale use to avoid needing a mixed approach with SageMaker."

More Amazon Bedrock cons

"I would like to see an automation feature added to send emails out using the open-source solution."

"The platform could enhance its features, particularly for ETL processes. Additionally, more integration features would be highly beneficial."

"I think something needs to be done in terms of technical support."

"I would like to see improvements to the logging and user interface. The verification process could be more streamlined."

"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."

"The solution could improve by having integration with GitHub."

"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."

"We found the solution to be a bit expensive."

More DigitalOcean cons

Pricing and Cost Advice

"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."

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

"This is a pay as you go solution. There is no license and it is usage based."

"The program is cheaper than others."

"The pricing is cheap."

"I am using the cheapest option available, which costs $50 per month."

"I would rate DigitalOcean's pricing a six out of ten, where one is cheap, and ten is very expensive."

"The solution provides the cheapest cloud in comparison to the other cloud solutions."

"The tool's pricing is cheap."

"The pricing is moderate and reasonable for a mid-tier cloud platform."

More DigitalOcean pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

18%

Computer Software Company

15%

Financial Services Firm

12%

Transportation Company

10%

Computer Software Company

12%

Manufacturing Company

Educational Organization

Financial Services Firm

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 and licensing of Amazon Bedrock are quite flexible.

What needs improvement with Amazon Bedrock?

Currently, I do not have any thoughts about what areas of Amazon Bedrock need improvement.

What is your primary use case for Amazon Bedrock?

I am using Amazon Bedrock ( /products/amazon-bedrock-reviews ) mainly to do some analysis of customer support calls.

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?

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. It would be beneficial to have more flexibility without fixed paym...

What is your primary use case for DigitalOcean?

I primarily use DigitalOcean to deploy applications. I rent the system from them, where I deploy my web servers and application servers. I use it to host my applications since moving from Oracle. I...

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Product Reports

Amazon Bedrock

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Also Known As

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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

Amazon Bedrock vs. DigitalOcean