Software Alternatives & Reviews

Cloud Foundry VS Google Cloud Functions

Compare Cloud Foundry VS Google Cloud Functions and see what are their differences

Cloud Foundry logo Cloud Foundry

Cloud Foundry is an open platform as a service, providing a choice of clouds, developer frameworks and application services, making it faster and easier to build, test, deploy and scale applications from an IDE or the command line.

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.
  • Cloud Foundry Landing page
    Landing page //
    2021-10-07
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25

Cloud Foundry videos

Inside Cloud Foundry: An Architectural Review

More videos:

  • Review - Review of Cloud Foundry Summit 2018 in Basel
  • Review - Resource Management Ecosystem and Cloud Foundry - A Review of the State of the Art

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)

Category Popularity

0-100% (relative to Cloud Foundry and Google Cloud Functions)
Cloud Computing
27 27%
73% 73
Cloud Hosting
24 24%
76% 76
Developer Tools
50 50%
50% 50
Backend As A Service
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Functions seems to be more popular. 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.

Cloud Foundry mentions (0)

We have not tracked any mentions of Cloud Foundry yet. Tracking of Cloud Foundry recommendations started around Mar 2021.

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: 6 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: 11 months ago
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What are some alternatives?

When comparing Cloud Foundry and Google Cloud 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.

AWS Lambda - Automatic, event-driven compute service

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.