AWS Compute Optimizer vs AWS Fargate comparison

AWS Compute Optimizer and AWS Fargate are both solutions in the Compute Service category. AWS Compute Optimizer is ranked #9 with an average rating of 8.0, while AWS Fargate is ranked #3 with an average rating of 8.3. AWS Compute Optimizer holds a 0.1% mindshare in CS, compared to AWS Fargate’s 16.7% mindshare. Additionally, 100% of AWS Compute Optimizer users are willing to recommend the solution, compared to 100% of AWS Fargate users who would recommend it.

AWS Compute Optimizer

Read 1 AWS Compute Optimizer review

130 Views
36 Comparison Views

100% willing to recommend

AWS Fargate

Read 13 AWS Fargate reviews

4,966 Views
3,039 Comparison Views

100% willing to recommend

AWS Compute Optimizer

AWS Fargate

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Compute Optimizer and AWS Fargate based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot by NetApp and others in Compute Service.

To learn more, read our detailed Compute Service Report (Updated: November 2024).

Buyer's Guide

Compute Service

November 2024

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Categories and Ranking

AWS Compute Optimizer

Ranking in Compute Service

9th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

AWS Fargate

Ranking in Compute Service

3rd

Average Rating

8.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Compute Service category, the mindshare of AWS Compute Optimizer is 0.1%, down from 0.2% compared to the previous year. The mindshare of AWS Fargate is 16.7%, up from 15.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Compute Service

Featured Reviews

Shady Mogawer

IT Manager at Arabian Cement Company

Easy to manage, flexible, and has good scaling options

A partner company called Cloud40 helped us with the deployment. It took a couple of weeks for the deployment to happen. The steps we took for the deployment process included research and information planning about what we wanted to do while moving from physical to the cloud. We have used all the hardware and other resources available to make sure of the connection.

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Subrata Mukherjee

Senior Technical Architect; Head of Platform at Blenheim Chalcot IT Services India

Boost demand response with cost-efficient serverless architecture

We are a venture builder company, and if we select AWS for our product. Our design is based on a serverless architecture model. ECS Fargate is the most convenient way in terms of scalability, integration, and cost control Thanks to the serverless model and easy integration features, a few…

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I find the solution's scaling capability to be an important benefit. You can scale it vertically or horizontally, i.e., you can upgrade the hardware or clone the machine. The solution is also easy to manage and flexible. Additionally, you get some layers of security without paying for it."

"The most valuable feature of Fargate is that it's self-managed. You don't have to configure your own clusters or deploy any Kubernetes clusters. This simplifies the initial deployment and scaling process."

"AWS Fargate has many valuable services. It does the job with minimal trouble. It's very observable. You can see what's going on and you have logs. You have everything. You can troubleshoot it. It's affordable and it's flexible."

"I like their containerization service. You can use Docker or something similar and deploy quickly without the know-how related to, for example, Kubernetes. If you use AKS or Kubernetes, then you have to have the know-how. But for Fargate, you don't need to have the know-how there. You just deploy the container or the image, and then you have the container, and you can use it as AWS takes care of the rest. This makes it easier for those getting started or if you don't have a strong DevOps team inside your organization."

"It allows for focusing on applications instead of managing infrastructure."

"Fargate's integration with other AWS services is really good."

"Fargate itself is a stable product. We are quite satisfied with its performance."

"The most valuable feature of AWS Fargate is its ability to run on demand without the constant run time of basic resources."

"The most valuable feature of AWS Fargate is its ease of use."

More AWS Fargate pros

Cons

"I have two areas of improvement to comment on. Most of the product names in AWS are not indicative of what they are doing. Moreover, AWS is not organized and you do not have the full platform with you. It is hard to know some AWS services."

"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."

"If there are any options to manage containers, that would be good. That relates more to the cost point. For example, over the next three months, I'll be making a comparison between solutions like CAST AI and other software-as-a-service platforms that offer Kubernetes management with an emphasis on cost reduction."

"AWS Fargate needs improvement in terms of setup complexity."

"I heard from my team that it's not easy to predict the cost. That is the only issue we have with AWS Fargate, but I think that's acceptable. AWS Fargate isn't user-friendly. Anything related to Software as a Service or microservice architecture is not easy to implement. You're required to have DevOps from your side to implement the solution. AWS Fargate is just a temporary solution for us. When we grow to a certain level, we may use AKS for better control."

"Sometimes, Fargate can be really hard to configure."

"I would like to see enhanced faster application scaling and better integration with the elastic file system to unify storage volumes and improve the launch time of instances."

"We would like to see some improvement in the process documents that are provided with this product, particularly for auto-scaling and other configuration tools that are a bit complicated."

"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."

More AWS Fargate cons

Pricing and Cost Advice

"I find the solution's pricing reasonable. You need to pay extra for IP and other miscellaneous costs."

"We would advise that this solution has a slightly-higher price point than others on the market. There is a free plan available for start-ups, but the free and lower range licensing models do not provide the full functionality."

"I rate the price of AWS Fargate a four out of five."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

28%

Computer Software Company

13%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about AWS Compute Optimizer?

I find the solution's scaling capability to be an important benefit. You can scale it vertically or horizontally, i.e., you can upgrade the hardware or clone the machine. The solution is also easy ...

See all answers

What is your experience regarding pricing and costs for AWS Compute Optimizer?

I find the solution's pricing reasonable. You need to pay extra for IP and other miscellaneous costs.

See all answers

What needs improvement with AWS Compute Optimizer?

I have two areas of improvement to comment on. Most of the product names in AWS are not indicative of what they are doing. Moreover, AWS is not organized and you do not have the full platform with ...

See all answers

What do you like most about AWS Fargate?

The most valuable feature of Fargate is that it's self-managed. You don't have to configure your own clusters or deploy any Kubernetes clusters. This simplifies the initial deployment and scaling p...

See all answers

What needs improvement with AWS Fargate?

I would like to see enhanced faster application scaling and better integration with the elastic file system to unify storage volumes and improve the launch time of instances. It requires enhancemen...

See all answers

What advice do you have for others considering AWS Fargate?

I recommend using AWS Fargate as it offers serverless computing capabilities with integration into load balancing, making it a good and beneficial solution. I'd rate the solution six out of ten.

See all answers

Comparisons

No data available

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Compared 41% of the time

Amazon EC2 vs AWS Fargate

Compared 19% of the time

Heroku vs AWS Fargate

Compared 9% of the time

Oracle Compute Cloud Service vs AWS Fargate

Compared 7% of the time

Apache Spark vs AWS Fargate

Compared 6% of the time

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Product Reports

Buyer's Guide

Compute Service

November 2024

Download AWS Compute Optimizer product report

Buyer's Guide

AWS Fargate

November 2024

Download AWS Fargate product report

Learn More

Amazon Web Services (AWS)

Overview

AWS Compute Optimizer recommends optimal AWS Compute resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics. Over-provisioning compute can lead to unnecessary infrastructure cost and under-provisioning compute can lead to poor application performance. Compute Optimizer helps you choose the optimal Amazon EC2 instance types, including those that are part of an Amazon EC2 Auto Scaling group, based on your utilization data.

By applying the knowledge drawn from Amazon’s own experience running diverse workloads in the cloud, Compute Optimizer identifies workload patterns and recommends optimal compute resources. Compute Optimizer analyzes the configuration and resource utilization of your workload to identify dozens of defining characteristics, for example, if a workload is CPU-intensive, or if it exhibits a daily pattern or if a workload accesses local storage frequently. The service processes these characteristics and identifies the hardware resource headroom required by the workload. Compute Optimizer infers how the workload would have performed on various hardware platforms (e.g. Amazon EC2 instances types) and offers recommendations.

A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.

Fargate has flexible configuration options so you can closely match your application needs and granular, per-second billing.

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Spot by NetApp and others in Compute Service. Updated: November 2024.

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