Amazon Bedrock vs DigitalOcean comparison

Read 14 DigitalOcean reviews

1,267 Views
1,216 Comparison Views

100% willing to recommend

Amazon Bedrock

Comparison Buyer's Guide

Download the report

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: December 2025).

Amazon Bedrock vs. DigitalOcean

December 2025

Download the complete report

Helped 879,853 peers since 2012

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

4.1

Amazon Bedrock offers cost-efficiency and accessibility, enabling affordable experimentation with large models while optimizing resources with pay-per-use.

Sentiment score

6.1

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

Amazon Bedrock enabled the use of huge models and the democratization of their use at comparatively low cost, if we host these models in the company.

Amal Amami

Data Scientist Team Lead at Venarisecurity

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

5.7

Amazon Bedrock support is highly rated for quick, effective help, especially in AI integration and ecosystem queries.

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 a tech services company with 201-500 employees

Scalability Issues

Sentiment score

5.6

Amazon Bedrock excels in scalability and integration but faces challenges and costs at hyperscale, with potential for improvement.

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 a tech vendor with 10,001+ employees

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 excels in stability and reliability, effectively handling scalability and security with consistently positive user experiences.

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 a tech services company with 201-500 employees

Room For Improvement

Amazon Bedrock needs improved documentation, pricing, generative AI, security, interface, integration, availability, and transparent pricing for competitiveness.

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 a tech vendor with 10,001+ employees

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 a tech services company with 201-500 employees

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

Amazon Bedrock offers flexible, competitive pricing but may incur high costs for extensive data use or enterprise features.

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 provides secure, customizable AI with easy integration, scalable models, and cost-efficient usage for rapid development and trust.

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 a tech services company with 201-500 employees

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)

10th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

AI Infrastructure (1st)

DigitalOcean

Ranking in Infrastructure as a Service Clouds (IaaS)

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Infrastructure as a Service Clouds (IaaS) category, the mindshare of Amazon Bedrock is 1.8%, up from 0.2% compared to the previous year. The mindshare of DigitalOcean is 2.0%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Infrastructure as a Service Clouds (IaaS) Market Share Distribution
Product	Market Share (%)
Amazon Bedrock	1.8%
DigitalOcean	2.0%
Other	96.2%

Infrastructure as a Service Clouds (IaaS)

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.

Read full review

Private cloud deployment offers cost-effective solutions but needs improved connectivity and issues mitigation

Lead Developer at a tech services company with 201-500 employees

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 service team to reboot. There are issues where even with 8 GB RAM, the performance doesn't meet expectations. The lower cost comes with more issues and disadvantages.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Infrastructure as a Service Clouds (IaaS) solutions are best for your needs.

See recommendations

879,853 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

11%

Manufacturing Company

11%

Financial Services Firm

10%

University

Manufacturing Company

Financial Services Firm

Computer Software Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

What is your experience regarding pricing and costs for Amazon Bedrock?

The price of invoking the model is considerably better compared to hosting the model with our local resources. This is an advantage for Amazon Bedrock.

What needs improvement with Amazon Bedrock?

Currently, I do not have any negative points in mind about Amazon Bedrock because I think Amazon Bedrock and other services are good. We have to use OpenSearch as well. We have not implemented RAG ...

What is your primary use case for Amazon Bedrock?

I am currently working on Amazon Bedrock Agent Core. We have created a data pipeline where we are using Amazon Bedrock Agent Core primarily for transformation. We use the agent for custom rules, tr...

What needs improvement with DigitalOcean?

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...

What advice do you have for others considering DigitalOcean?

I am a lead developer, currently working in that role. We are a customer of DigitalOcean. They can reach me via email to confirm anything regarding my review. I am willing to be a reference for Dig...

Oracle Cloud Infrastructure (OCI) vs Amazon Bedrock

Comparisons

Compared 25% of the time

Google Vertex AI vs Amazon Bedrock

Compared 16% of the time

GroqCloud Platform vs Amazon Bedrock

Compared 10% of the time

Alibaba Cloud vs Amazon Bedrock

Compared 9% of the time

NVIDIA DGX Cloud vs Amazon Bedrock

Compared 8% of the time

More Amazon Bedrock Competitors

Google Firebase vs DigitalOcean

Compared 16% of the time

Amazon AWS vs DigitalOcean

Compared 15% of the time

Akamai Connected Cloud (Linode) vs DigitalOcean

Compared 12% of the time

Oracle Cloud Infrastructure (OCI) vs DigitalOcean

Compared 12% of the time

Utho vs DigitalOcean

Compared 9% of the time

More DigitalOcean Competitors

Product Reports

Download Amazon Bedrock product report

Amazon Bedrock

January 2026

Download DigitalOcean product report

January 2026

Also Known As

No data available

Digital Ocean

Overview

Amazon Bedrock offers comprehensive model customization and integration with AWS services, making AI development more flexible for users. It streamlines content generation and model fine-tuning with a focus on security and cost efficiency.

Amazon Bedrock is engineered to provide a seamless AI integration experience with a strong emphasis on security and user-friendliness. It simplifies AI development by offering foundational models and managed scaling, enhancing both trust and operational efficiency. With its versatile model customization and ease of integration, Bedrock reduces the need for extensive infrastructure management. It supports businesses in deploying pre-trained models, performing generative AI tasks, and improving analytics through AI technologies such as chatbots, sentiment analysis, and data formatting.

What are the key features of Amazon Bedrock?

Security: Ensures robust data protection and confidentiality.
Versatile Model Customization: Allows tailoring of AI models to specific needs.
Integration with AWS Services: Enhances operational processes with seamless AWS integrations.
Managed Scaling: Offers automatic scaling without the need for extensive infrastructure management.
User-Friendliness: Simplifies AI development processes for users.

What benefits should users look for in the reviews?

Cost Efficiency: Reduces expenses while maximizing output.
Operational Efficiency: Streamlines AI processes and reduces workload.
Enhanced Security: Increases trust with strong data protection measures.
Ease of Use: Minimizes the complexity of AI implementation.

Amazon Bedrock is applied across industries for implementing AI-driven solutions like enhancing customer service with chatbots and improving data analysis with sentiment analysis tools. Businesses create knowledge bases, automate business processes, and utilize pre-trained models for tasks such as invoice processing and customer call analysis. Its integration with large language models assists in text and image generation, offering diverse AI capabilities adaptable to industry needs.

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