Azure Functions vs Cloud Functions for Firebase

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Azure Functions

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Cloud Functions for Firebase

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Azure Functions vs Cloud Functions for Firebase: What are the differences?

What is Azure Functions? Listen and react to events across your stack. Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

What is Cloud Functions for Firebase? Run your mobile backend code without managing servers. Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

Azure Functions and Cloud Functions for Firebase can be categorized as "Serverless / Task Processing" tools.

According to the StackShare community, Cloud Functions for Firebase has a broader approval, being mentioned in 46 company stacks & 32 developers stacks; compared to Azure Functions, which is listed in 30 company stacks and 22 developer stacks.

Advice on Azure Functions and Cloud Functions for Firebase

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

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Replies (2)
Anis Zehani

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

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My advice will be Front end: React Backend: Language: Java, Kotlin. Database: SQL: Postgres, MySQL, Aurora NOSQL: Mongo db. Caching: Redis. Public : Spring Webflux for async public facing operation. Admin api: Spring boot, Hibrernate, Rest API. Build Container image. Kuberenetes: AWS EKS, AWS ECS, Google GKE. Use Jenkins for CI/CD pipeline. Buddy works is good for AWS. Static content: Host on AWS S3 bucket, Use Cloudfront or Cloudflare as CDN.

Serverless Solution: Api gateway Lambda, Serveless Aurora (SQL). AWS S3 bucket.

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Pros of Azure Functions
Pros of Cloud Functions for Firebase
  • 12
    Pay only when invoked
  • 8
    Great developer experience for C#
  • 6
    Multiple languages supported
  • 5
    Great debugging support
  • 2
    Can be used as lightweight https service
  • 2
    Poor developer experience for C#
  • 2
    Easy scalability
  • 1
    Event driven
  • 1
    WebHooks
  • 1
    Azure component events for Storage, services etc
  • 3
    Up and running

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Cons of Azure Functions
Cons of Cloud Functions for Firebase
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
  • 1
    Sporadic server & language runtime issues
  • 1
    Not suited for long-running applications
    Be the first to leave a con

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    What is Azure Functions?

    Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

    What is Cloud Functions for Firebase?

    Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Azure Functions?
    What companies use Cloud Functions for Firebase?
    See which teams inside your own company are using Azure Functions or Cloud Functions for Firebase.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Azure Functions?
    What tools integrate with Cloud Functions for Firebase?

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    What are some alternatives to Azure Functions and Cloud Functions for Firebase?
    AWS Lambda
    AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Serverless
    Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
    Google Cloud Functions
    Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
    Google Cloud Run
    A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
    See all alternatives