Software Alternatives & Reviews

Azure Functions VS Google Cloud Run

Compare Azure Functions VS Google Cloud Run and see what are their differences

Azure Functions logo Azure Functions

Azure Functions is a serverless event driven experience that extends the existing Azure App Service platform.

Google Cloud Run logo Google Cloud Run

Bringing serverless to containers
  • Azure Functions Landing page
    Landing page //
    2022-09-26
  • Google Cloud Run Landing page
    Landing page //
    2023-10-16

Azure Functions videos

How to build a movie review app with Azure Cosmos DB and Azure Functions | Azure Makers Series

More videos:

  • Review - Go serverless: Event-driven applications with Azure Functions | Azure Friday
  • Review - Azure Friday | Serverless Apps with Azure Cosmos DB and Azure Functions

Google Cloud Run videos

No Google Cloud Run videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Azure Functions and Google Cloud Run)
Cloud Computing
25 25%
75% 75
Cloud Hosting
26 26%
74% 74
Backend As A Service
100 100%
0% 0
Developer Tools
18 18%
82% 82

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Functions and Google Cloud Run

Azure Functions Reviews

We have no reviews of Azure Functions yet.
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Google Cloud Run Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
So if anyone is looking for a flexible and cost-efficient platform for running containers on Google Cloud, then Google Cloud Run is great.
Source: humalect.com

Social recommendations and mentions

Based on our record, Google Cloud Run seems to be a lot more popular than Azure Functions. While we know about 82 links to Google Cloud Run, we've tracked only 3 mentions of Azure Functions. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Functions mentions (3)

  • Manage serverless APIs with Apache APISIX
    This article shows with the simple example how to manage Java-based serverless APIs build with Azure functions. It uses azure-functions plugin to integrate Apache APISIX API Gateway with Azure Serverless Function that invokes the HTTP trigger functions and return the response from Azure Cloud. - Source: dev.to / over 1 year ago
  • The Power of GitHub Actions for Streamlining DevOps Workflows
    GitHub Actions for Azure: This GitHub Action allows developers to automate tasks on the Microsoft Azure platform. With this action, developers can easily integrate Azure services into their workflows, such as Azure Functions, App Services, and Kubernetes. This can help streamline DevOps workflows by automating tasks such as deployment, testing, and scaling on the Azure platform. - Source: dev.to / over 1 year ago
  • NoOps: What Does the Future Hold for DevOps Engineers?
    NoOps is best suited for born-in-the-cloud environments that leverage PaaS and serverless solutions. Microservices and API-based application architectures fit the bill perfectly, as they offer fine-grained modularity along with automation. Leading cloud service providers like AWS, Azure, and GCP have a laser focus on providing more services and capabilities in PaaS and serverless, which would help accelerate the... - Source: dev.to / almost 3 years ago

Google Cloud Run mentions (82)

  • The 2024 Web Hosting Report
    Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 3 months ago
  • How to deploy a Django app to Google Cloud Run using Terraform
    Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 4 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago
  • Ultimate Guide to User Authorization with Identity Platform
    The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 10 months ago
  • Reduce memory usage of NodeJS apps inside Docker
    In our company we use Google Cloud Run to deploy web applications, and every app is built into a docker image. For now we use the default memory limit by Cloud Run which is 256 MB per container. Recently we started to notice that the part of applications go beyond this limit, causing a container to restart and in some cases even resulting to downtime of a service. - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing Azure Functions and Google Cloud Run, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.