Software Alternatives & Reviews

Google Cloud Functions VS Google Compute Engine

Compare Google Cloud Functions VS Google Compute Engine and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Google Compute Engine logo Google Compute Engine

Google Compute Engine is not just fast. It’s Google fast.
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Google Compute Engine Landing page
    Landing page //
    2023-10-22

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)

Google Compute Engine videos

Getting Started with Google Compute Engine

Category Popularity

0-100% (relative to Google Cloud Functions and Google Compute Engine)
Cloud Computing
59 59%
41% 41
Cloud Hosting
84 84%
16% 16
VPS
0 0%
100% 100
Backend As A Service
100 100%
0% 0

User comments

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

Reviews

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

Google Cloud Functions Reviews

We have no reviews of Google Cloud Functions yet.
Be the first one to post

Google Compute Engine Reviews

Alternatives to Amazon's Cloud Services (AWS)
Microsoft Azure and Google Cloud Compute are the two biggest competitors to AWS attempting to offer a growing stack of service offerings.

Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Google Compute Engine. 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: 11 months ago
View more

Google Compute Engine mentions (15)

  • Please bring neon db to GCP
    Surely you can run your own instances on some sort of "Compute" in GCP? https://cloud.google.com/products/compute. - Source: Hacker News / 30 days ago
  • Pickems website for MSI 2023
    The backend is written in node.js and is deployed using Google Compute Engine. I wanted to learn Kubernetes but it seemed more complicated and also more expensive than GCE. We also use mongodb. Source: about 1 year ago
  • Is it possible to host a Golang Application Free Indefinitely?
    Google seems to have a free tiny VM offering. AWS and Azure have one for a year. Of course, whether Google's will still be free in a year is whoknows. Source: about 1 year ago
  • typical programmer life
    Cloud VM's are the easy answer here. Source: over 1 year ago
  • Migrating Wordpress from GCP to AWS
    You may have noticed some changes to this site. Along with some style and color changes, I've updated the domain, and focused the pages on my technical blog. Originally this site started as an administrative page for the Minecraft servers I am hosting. I built the first Minecraft server in Google Cloud on a general Compute Engine instance, and was running this web page on a separate smaller instance. As the... - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Google Cloud Functions and Google Compute Engine, you can also consider the following products

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

Amazon EC2 - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

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.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

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

Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.