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 #4 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

3,962 Views
1,030 Comparison Views

94% willing to recommend

Google Cloud Run

Read 5 Google Cloud Run reviews

669 Views
147 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 919,894 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)

4th

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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Vyas Shubham

Senior Quality Analyst at a consultancy with 51-200 employees

Serverless containers have transformed how we deploy microservices and event-driven workloads

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. It also impacts user experience for real-time applications. The improvement we require is faster cold starts or smarter pre-warming options. There are also limitations with long-running workloads. It is not ideal for very long or always-running processes, and request timeouts are somewhat restrictive. The improvement we want is better support for persistent workloads without workarounds. We have also identified improvements needed in debugging and observability complexity because logs and monitoring are available, but they feel scattered at times, and debugging distributed microservices is harder. The improvement we require is more unified and developer-friendly debugging tools.

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

"Implementing the product has helped me monitor the parameters. I utilize tools like CloudWatch and AWS systems to track these parameters. If any issues arise, I alert our developer team to address and resolve them. The product helps to have a global file system. Also, it helps in data replication from region to region."

"The tool's most valuable feature is the ability to create revisions on the configurations."

"Amazon EC2 Container Service is a stable solution."

"I like the tool's availability and automated scalability. I need to define the port numbers, and when I have a large load of requests, I can get automated scalability."

"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."

"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 most valuable feature is the volume size they offer."

"For me, the best feature of ECS is Fargate because I don't have to manage anything. Instead, everything is managed by AWS and all I have to do, in essence, is configure my containers and deploy them."

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 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."

"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 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."

Cons

"The existing domain-joined capability the solution provides during the initial boot-up of the compute should be streamlined and made a little robust."

"Amazon EC2 Container Service's security can be improved."

"EC2 is not self-explanatory enough."

"The user interface of ECS could be improved for better navigation and to assist in quickly setting up a deployment."

"Sometimes, the instances fail under the ECS container cluster, and we have to manually go and find out the black sheep in the ECS container instance."

"Visualization is an important factor for me, and I don't think that the visuals within ECS are good enough because it doesn't show you all the details you might need to see at a glance."

"While it is generally stable, there have been some issues, especially when working on client projects where troubleshooting was needed."

"The solution's user experience and management are really bad."

More Amazon Elastic Container Service cons

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

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

"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."

"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."

Pricing and Cost Advice

"Amazon Elastic Container Service's price is good."

"The pricing is good."

"Although AWS has successfully captured over 60 percent of the market in the cloud part, the tool is competitively way cheaper for the resources it provides compared to the other solutions."

"Our client is paying between $400 and $500 USD per month for this service."

"The solution is expensive, but not too much."

"On a scale of one to ten, where one is low price and ten is high price, I rate Amazon EC2 Container Service’s pricing a four or five out of ten."

"The tool's cost is good."

"If you want to scale without the traditional methods, the solution is a bit cost-effective."

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

36%

Outsourcing Company

11%

Wholesaler/Distributor

Financial Services Firm

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 ...

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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

Red Hat OpenShift Container Platform vs Amazon Elastic Container Service

Compared 11% of the time

Kubernetes 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 60% of the time

Azure Container Apps vs Google Cloud Run

Compared 12% of the time

Microsoft Azure Container Service vs Google Cloud Run

Compared 7% 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

October 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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