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: June 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:

ROI

Sentiment score

6.8

Amazon Bedrock offers cost-efficient usage-based charges but unexpected fees may impact perceived returns despite reduced manual intervention.

Sentiment score

6.1

Most users saved significantly in the first month using DigitalOcean, although some didn't notice financial gains.

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

7.9

Amazon Bedrock's customer service is highly rated for efficiency and responsiveness, with strong support and documentation quality.

Sentiment score

6.5

DigitalOcean's customer service is responsive, but users seek improved 24/7 technical support, with no phone contact available.

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.

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

7.1

Amazon Bedrock excels in scalability using AWS, integrating well yet faces limitations like rate and token limits at hyperscale.

Sentiment score

7.2

DigitalOcean enables scalable infrastructure, easily managing increased demands with tools and load balancers, supported by comprehensive documentation.

It is scalable on a truly global basis.

Advisory Board Member at AllmaGen, Inc.

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

For more quotes and insights, download the Amazon Bedrock report

Senior Software Developer at Accenture

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

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

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Senior Software Engineer at Checkit

Stability Issues

Sentiment score

8.6

Amazon Bedrock is reliable and stable, handling workloads seamlessly, maintaining performance, and achieving high user satisfaction ratings.

Sentiment score

7.9

DigitalOcean is largely stable and reliable, with occasional downtime, but mostly meets user expectations for uninterrupted performance.

No quotes available

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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

Users seek improvements in documentation, integration, pricing, UI, AI capabilities, and introduction of Amazon native models.

DigitalOcean struggles with reliability, security, and performance, needing better flexibility, monitoring, and user experience for improved functionality.

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.

Advisory Board Member at AllmaGen, Inc.

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

For more quotes and insights, download the Amazon Bedrock report

Senior Software Developer at Accenture

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

Mehul Raj

Assistant Manager - Sales at Velocis Systems

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.

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Lead Developer at aimleap

Setup Cost

Amazon Bedrock offers flexible, consumption-based pricing, cost-effective for experimentation, though enterprise models can be expensive.

DigitalOcean provides flexible enterprise pricing, starting at $5/month, valued for scalability despite some users finding it slightly costly.

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

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

It follows a pay-as-you-go model, with different pricing for context and versions like 1.2, 2.3, and 3.1.

For more quotes and insights, download the Amazon Bedrock report

Senior Software Developer at Accenture

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 offers secure, cost-effective AI model customization and seamless integration, enhancing performance and trust in deployments.

DigitalOcean offers user-friendly, reliable cloud servers with cost-effective features like droplets, managed databases, and easy scaling integration.

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

Amazon Bedrock offers an environment where we only pay for the model we use, and AWS handles the scaling.

For more quotes and insights, download the Amazon Bedrock report

Senior Software Developer at Accenture

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

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

Lead Developer at aimleap

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

For more quotes and insights, download the DigitalOcean report

Senior Software Engineer at Checkit

Categories and Ranking

Amazon Bedrock

Ranking in Infrastructure as a Service Clouds (IaaS)

12th

Average Rating

8.2

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

AI Infrastructure (2nd)

DigitalOcean

Ranking in Infrastructure as a Service Clouds (IaaS)

14th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Very good security features for strengthened data protection

Advisory Board Member at AllmaGen, Inc.

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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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.

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

13%

Computer Software Company

11%

University

Computer Software Company

15%

Financial Services Firm

Comms Service Provider

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?

AWS ( /products/amazon-aws-reviews ) could add prompt engineering methods to its services. Currently, there are no prompt methods, so we have to experiment on our own. If AWS provided methods, like...

What is your primary use case for Amazon Bedrock?

We are using Amazon Bedrock ( /products/amazon-bedrock-reviews ) for generative AI-related tasks. We utilize Anthropic Claude ( /products/claude-reviews ) LLM to obtain appropriate answers for user...

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