Software Alternatives & Reviews

Google Cloud Functions VS Apache OpenWhisk

Compare Google Cloud Functions VS Apache OpenWhisk and see what are their differences

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.

Apache OpenWhisk logo Apache OpenWhisk

Serverless / Task Processing
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25
  • Apache OpenWhisk Landing page
    Landing page //
    2019-10-18

Google Cloud Functions

Categories
  • Cloud Computing
  • Cloud Hosting
  • Backend As A Service
  • Business & Commerce
Website cloud.google.com
Details $-

Apache OpenWhisk

Categories
  • Developer Tools
  • API Tools
  • Backend As A Service
  • API Management
Website openwhisk.apache.org
Details $

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)

Apache OpenWhisk videos

A Tour of the New Apache OpenWhisk Incubator Project and Its Numerous Repositories - Matt Rutkowski

More videos:

  • Review - 2018-05-23 Apache OpenWhisk Tech Interchange - Web Meeting
  • Review - 2018-06-20 Apache OpenWhisk Tech Interchange - Zoom Meeting

Category Popularity

0-100% (relative to Google Cloud Functions and Apache OpenWhisk)
Cloud Computing
95 95%
5% 5
Developer Tools
61 61%
39% 39
Cloud Hosting
100 100%
0% 0
API Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Functions should be more popular than Apache OpenWhisk. 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: 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: 10 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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Apache OpenWhisk mentions (7)

  • The 2024 Web Hosting Report
    Serverless functions are now offered by many cloud providers, as well as having options like OpenFaaS, Knative, Apache's Openwhisk and more from the open source community that run in environments ranging from one server all the way up to globally replicated private clusters. - Source: dev.to / 2 months ago
  • My first serverless function on DigitalOcean
    The serverless functions with Digital Ocean are based on Apache Open Whisk, so the service has additional name space, which need to go into the URL. - Source: dev.to / over 1 year ago
  • run a RestAPI on Every container?
    The two biggest options are OpenWhisk and OpenFaas. Check out /r/serverless for more options. I'm experimenting currently with OpenFaas as it's the lighter weigh to of the two. Source: over 1 year ago
  • which is best open source alternative to lamda
    If you meant lambda for cloud functions provided by Amazon then this is open source and free, as long as you host it yourself: https://openwhisk.apache.org/. Source: over 1 year ago
  • Orchestrator self hosted
    Not necessarily an orchestrator, but you could take a look at https://openwhisk.apache.org/ it's like AWS Lambdas but for kubernetes (and open shift if you swing that way). Haven't used it personally, but the reading I've done on it suggests you could probably use it for this. Source: about 2 years ago
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What are some alternatives?

When comparing Google Cloud Functions and Apache OpenWhisk, you can also consider the following products

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

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

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.

Fission - Edit audio in minutes, not hours.

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

Knative - Knative provides a set of components for building modern, source-centric, and container-based applications that can run anywhere.