Software Alternatives & Reviews

Google Cloud Functions VS Microsoft Azure Functions

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

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Microsoft Azure Functions logo Microsoft Azure Functions

Serverless, also known as FaaS (Function-as-a-Service), is a new approach to application development. FaaS is a form of serverless computing with an infrastructure managed by the provider to upload functions and use them on a pay-per-request basis.
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Microsoft Azure Functions Landing page
    Landing page //
    2023-02-09

Google Cloud Functions videos

Google Cloud Functions: introduction to event-driven serverless compute on GCP

More videos:

  • Review - Building Serverless Applications with Google Cloud Functions (Next '17 Rewind)

Microsoft Azure Functions videos

No Microsoft Azure Functions videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Google Cloud Functions and Microsoft Azure Functions)
Cloud Computing
82 82%
18% 18
Cloud Hosting
79 79%
21% 21
Backend As A Service
100 100%
0% 0
Developer Tools
43 43%
57% 57

User comments

Share your experience with using Google Cloud Functions and Microsoft Azure Functions. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Microsoft Azure Functions. It has been mentiond 41 times since March 2021. 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.

Google Cloud Functions mentions (41)

  • Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
    One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago
  • Need some advice on API key storage
    I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 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
  • Isolate a resource intensive task (in C++) from a Django Web app and restructure a web app
    Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago
  • Need Guidance
    Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 12 months ago
View more

Microsoft Azure Functions mentions (19)

  • Implementing serverless architecture in React Native apps
    Serverless technology helps React Native developers create more robust, adaptable, and efficient mobile applications that meet the demands of today's dynamic digital landscape. By seamlessly integrating cloud functions from providers like AWS Lambda or Azure Functions, developers can tap into a world of possibilities to enrich their mobile apps. - Source: dev.to / 6 months ago
  • Decoupler and future implications for legacy-proof UI code
    Azure Functions: Here’s the official Azure Functions product page, where you can learn about the features, benefits, and pricing of Microsoft’s serverless computing service. - Source: dev.to / 10 months ago
  • JDK 20 and JDK 21: What We Know So Far
    UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / about 1 year ago
  • .NET 7 for Azure Functions Isolated Worker Process Is Now Generally Available
    Microsoft recently announced the general availability of the .NET 7 for Azure Functions isolated worker process. Azure Functions will support .NET 7 serverless apps hosted on all Windows and Linux SKUs, including Consumption plan, Elastic Premium plan, and App Service plans.  More details: https://www.infoq.com/news/2022/11/azure-functions-dotnet-7/. Source: over 1 year ago
  • The problem(s) with Azure Functions
    Before that, I spend a ton of time testing Azure Functions and stumbled over a few rocks mountains 🗻. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

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

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.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

AWS Elastic Beanstalk - Quickly deploy and manage applications in the AWS cloud.

AWS Lambda - Automatic, event-driven compute service