Google Cloud Run vs Microsoft Azure Container Service comparison

Google Cloud Run vs. Microsoft Azure Container Service

Download the complete report

Helped 894,738 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

Google Cloud Run

Ranking in Containers as a Service (CaaS)

5th

Average Rating

8.4

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

Container Management (15th)

Microsoft Azure Container S...

Ranking in Containers as a Service (CaaS)

2nd

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

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.

Read full review

Mukesh_Verma

Architect at Hexaware Technologies Limited

Has supported seamless microservices deployment and improved cost control through managed infrastructure

Microsoft Azure Container Service includes being a very mature tool and a fully managed service, making it ready to use. You can simply opt for it and use it. As a managed service, you don't need to take care of the managed components. You only need to take care of whatever user-space you are managing. All the managed components are taken care of by Microsoft. They provide support for different upgrade operations, and anything related to managed components such as the controller nodes, those things they can take care of automatically. This is actually a very challenging task that is handled by Microsoft itself. Microsoft Azure Container Service has positively impacted my organization as it is a very mature tool and, when using the Azure platform, it's highly secure. It can offer end-to-end encryption and take care of all kinds of compliance. It also offers Azure Defender for Cloud that can provide security recommendations on a daily basis, making it a very mature product.

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

"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 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."

"In Google Cloud Run, we are mainly using the feature where we can directly pull images from Docker Hub."

"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 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 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."

"When comparing this solution with the on-premise environment Azure AKS, this solution is far superior."

"The main benefits Microsoft Azure Container Service provides for me are that it is easy to configure, easy to deploy, and functional."

"Microsoft Azure Container Service is a great program and I like its usability and the time it takes to market."

"Microsoft Azure Container Service has a good level of stability."

"The product makes things easier since it's self-managed. Therefore, there is less administration workload and operational costs."

"Storage is one of the most beneficial features of cloud providers, specifically Azure because when you are working in their cloud environment, you can easily use a storage interface and a storage object that is provided by Microsoft Azure. In a local environment, you have to be involved in establishing and setting up distributed storage file systems for containers which are very difficult and complex. In a cloud environment, you are not concerned about the storage and the dashboard provides you with storage objects with high availability."

"It's a great product if you are in a Microsoft environment."

"In terms of the overall cost savings and the overall operational efficiency, what kind of fast development cycles will cost, and reducing the time to market for each and every initiative, we have witnessed positive trends."

More Microsoft Azure Container Service pros

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."

"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."

"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."

"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."

"In the future, I would like to see it generalized and have the ability to better integrate with open-source tools."

"In terms of the container strategy, they need to make it more compliant with the Linux OS."

"If Microsoft Azure can provide GUI dashboards for end-users and administrators to work separately to manage all the Kubernetes clusters without a need to connect to Azure environments and through CLI it would be better."

"Sometimes the integration could be better between the Azure environment; there is some tweaking needed when building Docker files and creating mount points, and it is not always that easy."

"The customization is an area that needs improvement."

"In terms of the container strategy, they need to make it more compliant with the Linux OS."

"Standard support could be more helpful and responsive."

"I wasn't very impressed with the documentation."

More Microsoft Azure Container Service cons

Pricing and Cost Advice

Information not available

"Microsoft Azure Container Service has costs but in the container environment, there are no costs because it is open source and we are using Docker as the container engine in the master and worker nodes established in the Azure environment."

"The costs depend on the resources that you use, and there is a cost-management system to help calculate it."

"The solution's pricing is reasonable."

See which vendors are best for you

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

See recommendations

894,738 professionals have used our research since 2012.

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	6

Questions from the Community

What needs improvement with Google Cloud Run?

What is your primary use case for Google Cloud Run?

I am mainly using Google Cloud Run for running microservices and its web APIs, creating GraphQL APIs and validation. I also use it for event-driven processing, uploading files into cloud storage, a...

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

Google Cloud Run is something I have worked with and I have experience using it. The platform is very user-friendly, simple, and easy to use. The portability is highly portable. Google handles its ...

What is your experience regarding pricing and costs for Microsoft Azure Container Service?

The experience with pricing for Microsoft Azure Container Service depends on the use case and current workload. Based upon that, it can offer different types of SKU sizes because under the hood it ...

What needs improvement with Microsoft Azure Container Service?

Sometimes the integration could be better between the Azure environment; there is some tweaking needed when building Docker files and creating mount points, and it is not always that easy. From a G...

What is your primary use case for Microsoft Azure Container Service?

My use case for Microsoft Azure Container Service is for creating applications for internal use; it could be security-related or a service of some sort. The source code might be available in GitHub...

Microsoft Defender for Cloud vs Google Cloud Run

Comparisons

Compared 100% of the time

More Google Cloud Run Competitors

Amazon Elastic Container Service vs Microsoft Azure Container Service

Compared 28% of the time

Platform9 Managed Kubernetes vs Microsoft Azure Container Service

Compared 26% of the time

IBM Cloud Kubernetes Service vs Microsoft Azure Container Service

Compared 21% of the time

Google Container Engine vs Microsoft Azure Container Service

Compared 19% of the time

Spot by Flexera vs Microsoft Azure Container Service

Compared 6% of the time

More Microsoft Azure Container Service Competitors

Product Reports

Containers as a Service (CaaS)

Download Google Cloud Run product report

Microsoft Azure Container Service

Download Microsoft Azure Container Service product report

Microsoft Azure Container Service report

Also Known As

Google Cloud Functions, Google Run, GCF

MS Azure Container Service

Overview

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

Microsoft Azure Container Service provides fast deployment, strong security, scalability, and management efficiency, making it ideal for DevOps practices.

Microsoft Azure Container Service offers significant features such as container storage, monitoring tools, and high availability options. It reduces administrative workload through managed services, enabling rapid deployment and comprehensive CI/CD integration. Supporting container image storage securely, the platform minimizes infrastructure management efforts and enhances resource optimization. Organizations benefit from robust security, flexibility, and cost-effective scalability, further supported by compatibility with various storage solutions and easy integration with Kubernetes for microservices automation.

What are the key features of Microsoft Azure Container Service?

Usability: Simplifies deployment and maintenance of containerized applications.
Security: Provides strong security measures for container storage and deployments.
CI/CD Integration: Streamlines development processes with comprehensive CI/CD support.
Cost-saving Scalability: Optimizes resources for cost-efficient operations.
Monitoring Tools: Robust tools for monitoring applications and infrastructure.
High Availability Storage: Offers reliable storage options to ensure uptime.

What benefits and ROI should organizations consider?

Reduced Administration Workload: Managed services lower operational demands.
Enhanced Efficiency: Streamlines processes by reducing infrastructure maintenance time.
Operational Cost Savings: Offers scalability for cost-effective operations.

Organizations use Microsoft Azure Container Service for managing and automating microservices, supporting development, deployments, and migrations. It enables infrastructure automation with Terraform and secures microservices with Kubernetes. Companies across sectors manage containerized applications, leverage cloud migrations, and collaborate with SaaS and Docker files to optimize development and DevOps environments.

Microsoft

Sample Customers

Information Not Available

Esri, BIO CATCH

Google Cloud Run vs. Microsoft Azure Container Service