StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Google Cloud Functions vs Laravel Vapor

Google Cloud Functions vs Laravel Vapor

OverviewDecisionsComparisonAlternatives

Overview

Google Cloud Functions
Google Cloud Functions
Stacks478
Followers479
Votes25
Laravel Vapor
Laravel Vapor
Stacks45
Followers48
Votes0

Google Cloud Functions vs Laravel Vapor: What are the differences?

Introduction: In this article, we will discuss the key differences between Google Cloud Functions and Laravel Vapor. These two technologies are used for deploying serverless functions and applications on the cloud, but they have some distinct features and functionalities that set them apart.

  1. Deployment Model: Google Cloud Functions follows a fully managed serverless model, where developers can focus solely on their code without worrying about the underlying infrastructure. Laravel Vapor, on the other hand, is built on top of AWS Lambda and provides a framework-specific layer for deployment. It offers a more abstracted and managed serverless deployment model tailored specifically for Laravel applications.

  2. Platform Support: Google Cloud Functions is a platform-agnostic solution, allowing developers to write functions in various programming languages like Node.js, Python, and Go, among others. Laravel Vapor, as the name suggests, is tightly integrated with the Laravel PHP framework and is primarily designed to deploy Laravel applications on AWS Lambda.

  3. Integrated Development Environment (IDE) Support: While both Google Cloud Functions and Laravel Vapor can be developed using any IDE, Laravel Vapor provides native support for Laravel developers. It includes additional features like local development using the Vapor CLI, which provides an environment consistent with the production environment, making it easier for developers to test and debug their applications.

  4. Pricing Structure: Google Cloud Functions offers a pay-as-you-go pricing model, where developers are charged based on the number of function invocations, execution time, and memory utilized. Laravel Vapor, on the other hand, has a separate pricing structure based on the number of requests and memory usage specific to AWS Lambda. The pricing for Laravel Vapor is bundled with other AWS services used by Vapor, such as S3 and DynamoDB, making it a more unified pricing model within the AWS ecosystem.

  5. Serverless Ecosystem Integration: Google Cloud Functions, being a part of the Google Cloud Platform, provides seamless integration with other cloud services offered by Google, such as Cloud Pub/Sub, Cloud Firestore, or Cloud Storage. Laravel Vapor, on the other hand, leverages the AWS ecosystem, enabling developers to utilize various AWS services like S3, DynamoDB, or RDS, which can be seamlessly integrated into Laravel applications deployed using Vapor.

  6. Scalability and Performance: Both Google Cloud Functions and Laravel Vapor are designed to scale automatically based on the workload and traffic patterns. However, Google Cloud Functions has the advantage of running on the robust infrastructure provided by Google Cloud Platform, which ensures efficient resource allocation and high performance scalability. Laravel Vapor leverages the scalability and performance capabilities of AWS Lambda, which is known for its high availability and fault-tolerant nature.

In summary, Google Cloud Functions provides a platform-agnostic, fully managed serverless solution with broad language support, while Laravel Vapor offers a more streamlined and Laravel-focused approach for deploying serverless applications on AWS Lambda, integrated with the AWS ecosystem.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Google Cloud Functions, Laravel Vapor

Clifford
Clifford

Software Engineer at Bidvest Advisory Services

Mar 28, 2020

Decided

Run cloud service containers instead of cloud-native services

  • Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
  • Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
  • Start redirecting your traffic to the new resources.
  • Turn off the containers in the cloud you migrated from.
71.3k views71.3k
Comments

Detailed Comparison

Google Cloud Functions
Google Cloud Functions
Laravel Vapor
Laravel Vapor

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

It is an auto-scaling, serverless deployment platform for Laravel, powered by AWS Lambda. Manage your Laravel infrastructure on Vapor and fall in love with the scalability and simplicity of serverless.

-
Auto-scaling web / queue infrastructure fine tuned for Laravel; Zero-downtime deployments and rollbacks; Environment variable / secret management; Database management, including point-in-time restores and scaling; Redis Cache management, including cluster scaling; Database and cache tunnels, allowing for easy local inspection; Automatic uploading of assets to Cloudfront CDN during deployment; Unique, Vapor assigned vanity URLs for each environment, allowing immediate inspection; Custom application domains; DNS management; Certificate management and renewal; Application, database, and cache metrics; CI friendly
Statistics
Stacks
478
Stacks
45
Followers
479
Followers
48
Votes
25
Votes
0
Pros & Cons
Pros
  • 7
    Serverless Applications
  • 5
    Its not AWS
  • 4
    Simplicity
  • 3
    Free Tiers and Trainging
  • 2
    Simple config with GitLab CI/CD
Cons
  • 1
    Node.js only
  • 0
    Typescript Support
  • 0
    Blaze, pay as you go
No community feedback yet
Integrations
Firebase
Firebase
Google Cloud Storage
Google Cloud Storage
Stackdriver
Stackdriver
AWS Lambda
AWS Lambda
Laravel
Laravel

What are some alternatives to Google Cloud Functions, Laravel Vapor?

AWS Lambda

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.

Azure Functions

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.

Google Cloud Run

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.

Serverless

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.

Knative

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

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.

AWS Batch

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase