Software Alternatives, Accelerators & Startups

Celery VS Google Cloud Functions

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

Celery logo Celery

Celery helps innovative companies set up pre-order or custom crowdfunding campaigns anywhere.

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.
  • Celery Landing page
    Landing page //
    2021-10-19
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25

Celery videos

Medical Medium Anthony William on the Dos and Don’ts of Celery Juice

More videos:

  • Review - Celery Juice Review: I Drank Celery Juice for 7 Days & This Is What Happened
  • Review - CELERY JUICE REVIEW | Medical medium's celery juice for 2 months | Honest Experience | Georgia Gibbs

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 Celery and Google Cloud Functions)
Data Integration
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Stream Processing
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

Share your experience with using Celery and Google Cloud Functions. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Functions seems to be more popular. It has been mentiond 43 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.

Celery mentions (0)

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

Google Cloud Functions mentions (43)

  • Is Serverless Architecture Right For You?
    The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 3 days ago
  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / 11 days ago
  • 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 / 6 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 / 10 months ago
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What are some alternatives?

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

Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

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

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

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.

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

AWS Lambda - Automatic, event-driven compute service