Amazon Elastic Container Service vs Google Cloud Run comparison

Why PeerSpot?

Amazon Web Services (AWS) and Google are both solutions in the Containers as a Service (CaaS) category. Amazon Web Services (AWS) is ranked #1 with an average rating of 8.8, while Google is ranked #6 with an average rating of 8.6. Additionally, 94% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon Elastic Container Se...

Read 53 Amazon Elastic Container Service reviews

4,253 Views
1,148 Comparison Views

94% willing to recommend

Google Cloud Run

Read 5 Google Cloud Run reviews

759 Views
175 Comparison Views

100% willing to recommend

Amazon Elastic Container Se...

Google Cloud Run

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Elastic Container Service and Google Cloud Run based on real PeerSpot user reviews.

Find out in this report how the two Containers as a Service (CaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon Elastic Container Service vs. Google Cloud Run Report (Updated: September 2026).

Buyer's Guide

Amazon Elastic Container Service vs. Google Cloud Run

September 2026

Download the complete report

Helped 921,148 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:

Categories and Ranking

Amazon Elastic Container Se...

Ranking in Container Management

12th

Ranking in Containers as a Service (CaaS)

1st

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Run

Ranking in Container Management

14th

Ranking in Containers as a Service (CaaS)

6th

Average Rating

8.6

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Bharat Prajapati

Lead DevSecOps Engineer & Founder of Spiderthings Solutions at a computer software company with 51-200 employees

Containerization has unified diverse microservices and delivers faster, cost‑efficient deployments

Amazon Elastic Container Service offers many features including VPC Lattice, service discovery, service connect option for internal communications, and private hosted zones via Cloud Map, with multiple features within Amazon Elastic Container Service Fargate container itself, including EC2, Fargate, and Spot Instance.Out of those features, the one that has made the biggest difference for my team and workflow is the ease of scaling, logging, monitoring, and easy deployments, as well as being self-managed by AWS, facilitating multiple things such as internal communication and private networking. I would add that there is a namespace service where I am using service discovery, with a few more networking-related features, including VPC Resolver, which impacts our VPC and Amazon Elastic Container Service environment to control incoming and outgoing traffic. Amazon Elastic Container Service has impacted my organization positively by being very helpful, cost-optimized, and easy to deploy; from a developer perspective, user perspective, and DevOps team perspective, it accommodates everyone, whether they are a fresher, intermediate, or advanced user, thanks to its easy UI features. I have seen specific outcomes including time savings and the removal of code dependency on DevOps when using Amazon Elastic Container Service, contributing to saving time, cost, and many other benefits, with these being the two major points. Regarding Amazon Elastic Container Service's AI capabilities, I think its governance and security are solid due to features including ARM-specific secret management, IAM-specific containerization, task role, task execution role, and read-only EBS related elements within container mounting volumes, showcasing multiple security features provided within the UI. When it comes to the accuracy and reliability of outputs from Amazon Elastic Container Service's AI capabilities, I find it far better, especially since AWS launched their AI-related help bot, generating accurate answers that help resolve and debug issues.

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Andlib Saif

Technical Lead at a tech consulting company with 1,001-5,000 employees

Microservices deployment has become faster and cost optimization is driving daily development

While Google Cloud Run does a great job of reducing costs, to mitigate cold starts, users can set minimum instances, but scaling to zero costs has become a cost-saving advantage even when idle, and idle instance costs might occur. This can be avoided because whenever a heavy container causes a cold start, it affects latency and sensitivity of the application. When it starts from idle to full run, it scales slowly, causing slowness in the service deployed; sometimes some of the APIs fail to respond. It is difficult to identify the bug because it is often due to the idleness of the application and not the code, which can be quite frustrating. Additionally, simple tasks for developers who just want to run a few lines of code can be more complex. I would say optimizing concurrency can improve the experience; currently, managing multiple containers in a single Google Cloud Run instance becomes quite difficult, especially tasks such as logging and local proxy monitoring. Google provides fully orchestrated alternatives, but Cloud Run is better for scaling. Slowness in applications is a notable issue.

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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

"Auto scaling is the best feature found in Amazon Elastic Container Service, and it provides significant cost saving benefits."

"The solution is simple to access."

"Performance is our top priority. So, if we need to deploy on a high-specification machine, we can choose it from the software. If we just need a low-specification one, we can just choose it based on the requirement handling software configuration."

"The most valuable feature of the solution is its scalability."

"Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service."

"They handle the backup process quite well. They automatically encapsulate it, including container backups, without relying heavily on the client's involvement. This is a significant advantage compared to other providers where clients often need to manage the process more independently. It's a feature that I find suitable and beneficial."

"The cloud services are readily available."

"Amazon EC2 Container Service has multiple valuable features like load balancers and autoscalers."

More Amazon Elastic Container Service pros

"Google Cloud Run has impacted my organization positively through faster deployment and development, where developers can deploy applications quickly without worrying about infrastructure, push the app live with just containers, speed up time to market significantly, launch features faster and iterate more often, pay only when code runs without maintaining idle servers, reduce cloud costs dramatically for applications with low or unpredictable traffic, automatically scale based on traffic spikes to handle sudden loads without manual intervention so our business does not lose users during peak hours, and let developers focus on business logic instead of DevOps."

"Google Cloud Run has positively impacted my organization in numerous ways, such as significant cost efficiency and reduced overhead since we only pay for the resources that we use."

"Google Cloud Run and the Google Cloud environment positively impact my organization by providing almost 99.9% availability for applications, which instills confidence in the organization and users by reducing the dependency on the physical network and allowing access to applications and data."

"Google Cloud Run is a very good tool that I use for deploying applications; its ease of deployment, auto scaling features, and resource optimization are very nice features that help individuals deploy their apps and solutions into the cloud without any hiccups."

"Google Cloud Run has positively impacted our organization by saving us five thousand dollars per month based on scheduling our infrastructure from nine p.m. to nine a.m. for shutdown and starting, as well as stopping the MongoDB clusters."

Cons

"Its scalability is good, though there are a few areas that need improvement.What needs to be improved with scalability is not specific, but it involves occasions when the scaling trigger does not perform up to the mark, and sometimes it gets stuck in the draining state when a container goes down due to reasons including being unhealthy or crashing, requiring a wait for the container to transition before a new one can come up."

"The solution needs to improve backup and pricing."

"The solution's pricing could be improved."

"After the load balancer gets attached to Amazon Elastic Container Service clusters, I can't modify, remove, or replace it later."

"Support could be better with response time and knowledge of staff."

"There is room for improvement in the licensing costs. There can be better licensing costs."

"The product can become expensive if you don't choose what you want."

"In the next release, they could add some customization options for high computer workloads."

More Amazon Elastic Container Service cons

"When it starts from idle to full run, it scales slowly, causing slowness in the service deployed; sometimes some of the APIs fail to respond."

"One area where Google Cloud Run could be better is the cold start; when a container scales, it starts from zero and takes a moment to boot up before it can serve the request."

"There are a few areas where Google Cloud Run could improve."

"There are a few areas that could be improved. We have experienced cold start latency because when scaling from zero, the first request is slow."

"If speaking about improvements for Google Cloud Run, I think they could reduce the cold starts and manage to configure a set number of minimum instances to keep the instances in a warm phase."

Pricing and Cost Advice

"The tool's licensing is monthly."

"There is no need to pay anything towards the licensing costs of Amazon EC2 Container Service."

"Amazon EC2 Container Service is priced high."

"The platform is inexpensive."

"I don't exactly deal with the pricing. We have a separate Infra team that deals with the pricing. They are more into the scalability part. Based on our requirements, the pricing will increase. The automation teams will test some of the benefits to see how can we can optimize the cost. They'll have a security manager connection and some alerts based upon the usage to see how to reduce the building cost based upon the installations."

"Amazon ECS is expensive."

"We have to pay a monthly licensing fee for Amazon EC2 Container Service."

"I don't know the exact amount we were charged for our use of ECS, but I do know that it can be costly, especially when there is a bug or an error caused by default configurations."

More Amazon Elastic Container Service pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Construction Company

15%

Financial Services Firm

13%

Computer Software Company

12%

Outsourcing Company

11%

Construction Company

33%

Outsourcing Company

10%

Wholesaler/Distributor

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	7
Large Enterprise	21

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

Questions from the Community

What needs improvement with Amazon EC2 Container Service?

As for how Amazon Elastic Container Service can be improved, I currently find there is not much lacking since I can identify everything I need from Amazon Elastic Container Service container itself...

See all answers

What is your primary use case for Amazon EC2 Container Service?

My main use case for Amazon Elastic Container Service is deploying microservices-based applications with different technologies.A quick specific example of a project or application I have deployed ...

See all answers

What advice do you have for others considering Amazon EC2 Container Service?

I would rate Amazon Elastic Container Service as a nine out of ten.I give it a nine out of ten because, although it is not a direct alternative, it is indirectly an alternative to Kubernetes, which...

See all answers

What needs improvement with Google Cloud Run?

If speaking about improvements for Google Cloud Run, I think they could reduce the cold starts and manage to configure a set number of minimum instances to keep the instances in a warm phase. Addit...

See all answers

What is your primary use case for Google Cloud Run?

In my day-to-day work, I use Google Cloud Run for managing and running cluster and containerized applications on the Google Kubernetes Engine and Google Console. I have created multiple application...

See all answers

What advice do you have for others considering Google Cloud Run?

If any organization has a lot of load on their Google Kubernetes Engine or on Google Cloud, they can easily switch to Google Cloud Run and should start using it because it will help them in many wa...

See all answers

Comparisons

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Compared 11% of the time

Red Hat OpenShift Container Platform vs Amazon Elastic Container Service

Compared 11% of the time

Google Container Engine vs Amazon Elastic Container Service

Compared 10% of the time

Google Kubernetes Engine vs Amazon Elastic Container Service

Compared 9% of the time

Microsoft Azure Container Service vs Amazon Elastic Container Service

Compared 6% of the time

More Amazon Elastic Container Service Competitors

Microsoft Defender for Cloud vs Google Cloud Run

Compared 59% of the time

Azure Container Apps vs Google Cloud Run

Compared 11% of the time

Microsoft Azure Container Service vs Google Cloud Run

Compared 8% of the time

Platform9 Managed Kubernetes vs Google Cloud Run

Compared 6% of the time

Google Kubernetes Engine vs Google Cloud Run

Compared 5% of the time

More Google Cloud Run Competitors

Product Reports

Buyer's Guide

Amazon Elastic Container Service

November 2026

Download Amazon Elastic Container Service product report

Buyer's Guide

Containers as a Service (CaaS)

October 2026

Download Google Cloud Run product report

Also Known As

Amazon ECS, Amazon EC2 Container Service

Google Cloud Functions, Google Run, GCF

Overview

Amazon Elastic Container Service provides scalable, efficient container orchestration with features like service discovery and seamless AWS integration, making it user-friendly and cost-effective for managing containerized applications.

This service is known for its scalability, service discovery, and ease of setup, while Fargate's lack of management needs enhances usability. Offering high availability and excellent uptime, it integrates seamlessly with AWS services. Despite its strengths, users seek improvements in orchestration, user experience, logging, and third-party tool integration. The service excels in aiding organizations to efficiently run microservices architectures and support automated deployments with CI/CD pipelines.

What are the key features of Amazon Elastic Container Service?

Scalability: Automatically adjusts resources based on demand.
Service Discovery: Simplifies locating containers using internal DNS names.
AWS Integrations: Seamless connectivity with AWS networking and services.
Fargate: No server management needed, enabling easy scaling.
Security: Enhanced security measures protect containerized applications.
High Availability: Ensures minimal downtime with robust uptime features.

What benefits should reviews highlight when evaluating Amazon Elastic Container Service?

Cost-effectiveness: Offers affordable container management solutions.
User-friendly Interface: Simplifies deployment and management.
Resource Utilization: Optimizes use of infrastructure and storage.
Backup and Recovery: Provides strong backup capabilities within the AWS ecosystem.

Amazon Elastic Container Service is effectively implemented across industries such as technology, finance, and healthcare, supporting web applications and microservices architectures. It facilitates managing Docker configurations and batch processes efficiently, streamlining infrastructure and providing a platform for cost-effective application deployment.

Amazon Web Services (AWS)

Google Cloud Run is a versatile and scalable platform for deploying containerized applications. It offers automatic scaling and supports any language or library, making it a practical choice for developers and enterprises aiming for agility and efficiency in cloud-based workloads.

Designed to enhance application deployment, Google Cloud Run provides serverless capabilities that allow apps to run on fully managed environments. Its ability to support containers on Kubernetes ensures that developers can leverage modern DevOps practices. The platform integrates seamlessly with existing Google Cloud services, which simplifies deployment processes and reduces operational complexity. Its serverless nature allows pay-per-use billing, optimizing costs while ensuring workload flexibility.

What are the key features of Google Cloud Run?

Automatic Scaling: Automatically adjusts compute resources based on traffic, ensuring applications run efficiently.
Fully Managed: Offers a serverless environment, reducing management overhead and enabling developers to focus on code.
Supports Any Language: Capable of running any language runtime, increasing versatility for developers.
Secure by Default: Provides built-in security features, including HTTPS and identity management integration.

What benefits and ROI should users consider?

Cost-efficiency: Pay only for what you use, reducing unnecessary expenses.
Scalability: Handle varying workloads with ease, improving performance reliability.
Developer Productivity: Simplifies the deployment process, enabling faster time-to-market.
Integration: Seamless alignment with other Google Cloud services, enhancing existing workflows.

Google Cloud Run is widely adopted across industries like e-commerce, healthcare, and financial services where rapid deployment and scalability are crucial. Companies utilize it for deploying microservices, running data processing jobs, and serving web applications, benefiting from its ability to scale in response to demand and integrate securely within their ecosystem.

Google

Sample Customers

Ubisoft, GoPro, TIBCO, Remind

Information Not Available

Buyer's Guide

Amazon Elastic Container Service vs. Google Cloud Run

September 2026

Free Report: Amazon Elastic Container Service vs. Google Cloud Run

Find out what your peers are saying about Amazon Elastic Container Service vs. Google Cloud Run and other solutions. Updated: September 2026.

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