Akamai Connected Cloud and Amazon Bedrock compete in the cloud computing and AI services category. Amazon Bedrock appears to have the upper hand due to its advanced AI capabilities and flexibility.
Features: Akamai Connected Cloud offers simple cloud services focused on Linux users with worldwide data center coverage, favored for its fast setup and stability. Amazon Bedrock provides a broad range of foundational models for AI applications, offers fine-tuning, and supports serverless operation for cost efficiency.
Room for Improvement: Akamai Connected Cloud could enhance its security features, expand European data centers, and improve support for newcomers. Amazon Bedrock might focus on reducing pricing, improving cost transparency, and expanding its AI offerings to include voice and image support.
Ease of Deployment and Customer Service: Akamai Connected Cloud is noted for 24/7 support with a personal touch, making issue resolution user-friendly. Amazon Bedrock's customer service is reliable, with its stable services reducing the necessity for frequent support.
Pricing and ROI: Akamai Connected Cloud offers clear pricing, allowing easy scalability and predictable budgeting, appreciated for its cost-effectiveness. Amazon Bedrock's pricing is reasonable within the AI feature space but could benefit from improved price transparency and reductions.
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.
They respond with relevant and easy-to-follow solutions.
They were very responsive to my issue.
We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
My experience with the technical support has been very good because they resolved my billing issue within a day.
For my usage, which is a small business, I rate the scalability of Akamai Connected Cloud (Linode) around nine or ten.
It is scalable on a truly global basis.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
The stability of Amazon Bedrock is good as I have not faced any issues.
The main area for improvement is the lack of a backup feature to the local hard disk or storage.
The main improvement I would like to see from Akamai Connected Cloud (Linode) is the ability to duplicate the server as it is and initialize a new one with the same features.
It would be useful to have the option to sort or group by tags on the domains page.
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 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.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
I find Akamai Connected Cloud (Linode)'s pricing very competitive.
Our cost is incredibly low, operating for a few hundred dollars a month in production.
One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.
The pricing and licensing of Amazon Bedrock are quite flexible.
Akamai Connected Cloud (Linode) is easy to use and has a fair price, making it accessible and straightforward, which is crucial when compared to other complex solutions.
Their support is really good. I can ask anything at any time, and they are able to resolve issues like reinstating deleted Linodes.
Akamai Connected Cloud (Linode) is cheaper.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
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.
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
| Product | Market Share (%) |
|---|---|
| Akamai Connected Cloud (Linode) | 9.5% |
| Amazon Bedrock | 1.8% |
| Other | 88.7% |
| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 3 |
| Large Enterprise | 1 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
Linode Pricing Page
CPU, transfer, storage, and RAM bundled into one simple price.
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?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.
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