Google Cloud Functions vs Zappa

Overview

Zappa

Stacks68

Followers99

Votes0

Google Cloud Functions

Stacks478

Followers479

Votes25

Google Cloud Functions vs Zappa: What are the differences?

Introduction

This analysis highlights the key differences between Google Cloud Functions and Zappa for developers evaluating serverless computing options.

Deployment Method: Google Cloud Functions allow users to deploy functions directly from the cloud console or through a command-line tool, providing a seamless deployment experience. On the other hand, Zappa requires developers to first deploy their application code to AWS Lambda and then manage the deployment process through the Zappa tool, which adds an additional step to the deployment workflow.
Supported Languages: Google Cloud Functions offer support for multiple programming languages such as Node.js, Python, Go, and Java, making it versatile for developers with different language preferences. Zappa, on the other hand, primarily focuses on Python-based applications, limiting the language options for developers who prefer other programming languages.
Vendor Lock-in: Google Cloud Functions tie developers to Google Cloud, limiting flexibility for those looking to utilize multiple cloud providers. In contrast, Zappa provides the flexibility to deploy serverless applications on AWS, allowing developers to avoid vendor lock-in and choose a cloud provider that best suits their needs.
Pricing Model: Google Cloud Functions operate on a pay-as-you-go pricing model, where users are billed based on the number of invocations and resource usage. Conversely, Zappa leverages the pricing structure of AWS Lambda, which charges users based on the number of requests and the duration of the function execution, potentially offering cost savings for certain use cases.
Ecosystem Integration: Google Cloud Functions seamlessly integrate with other Google Cloud services, enabling developers to build complex, cloud-native applications within the Google ecosystem. In contrast, Zappa focuses on simplifying the deployment of web applications on AWS Lambda, with less emphasis on tight integration with other AWS services or the broader serverless ecosystem.
Community Support: Google Cloud Functions benefit from the extensive support and resources provided by Google Cloud Platform, including documentation, tutorials, and community forums. Zappa, being an open-source project, relies on community contributions and may have varying levels of support and resources available to developers.

In Summary, Google Cloud Functions offer a seamless deployment experience with support for multiple languages, while Zappa provides flexibility in choice of cloud provider and potential cost savings through AWS Lambda pricing.

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CLI (Node.js)

Manual

Advice on Zappa, Google Cloud Functions

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.

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Comments

Detailed Comparison

Zappa	Google Cloud Functions
Zappa makes it super easy to deploy all Python WSGI applications on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python web apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments!	Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Statistics
Stacks 68	Stacks 478
Followers 99	Followers 479
Votes 0	Votes 25
Pros & Cons
No community feedback yet	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
Integrations
Amazon API Gateway AWS Lambda	Firebase Google Cloud Storage Stackdriver

What are some alternatives to Zappa, Google Cloud Functions?

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 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

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

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 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

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

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

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 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

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

Google Cloud Functions vs Zappa: What are the differences?

Introduction

This analysis highlights the key differences between Google Cloud Functions and Zappa for developers evaluating serverless computing options.

Deployment Method: Google Cloud Functions allow users to deploy functions directly from the cloud console or through a command-line tool, providing a seamless deployment experience. On the other hand, Zappa requires developers to first deploy their application code to AWS Lambda and then manage the deployment process through the Zappa tool, which adds an additional step to the deployment workflow.
Supported Languages: Google Cloud Functions offer support for multiple programming languages such as Node.js, Python, Go, and Java, making it versatile for developers with different language preferences. Zappa, on the other hand, primarily focuses on Python-based applications, limiting the language options for developers who prefer other programming languages.
Vendor Lock-in: Google Cloud Functions tie developers to Google Cloud, limiting flexibility for those looking to utilize multiple cloud providers. In contrast, Zappa provides the flexibility to deploy serverless applications on AWS, allowing developers to avoid vendor lock-in and choose a cloud provider that best suits their needs.
Pricing Model: Google Cloud Functions operate on a pay-as-you-go pricing model, where users are billed based on the number of invocations and resource usage. Conversely, Zappa leverages the pricing structure of AWS Lambda, which charges users based on the number of requests and the duration of the function execution, potentially offering cost savings for certain use cases.
Ecosystem Integration: Google Cloud Functions seamlessly integrate with other Google Cloud services, enabling developers to build complex, cloud-native applications within the Google ecosystem. In contrast, Zappa focuses on simplifying the deployment of web applications on AWS Lambda, with less emphasis on tight integration with other AWS services or the broader serverless ecosystem.
Community Support: Google Cloud Functions benefit from the extensive support and resources provided by Google Cloud Platform, including documentation, tutorials, and community forums. Zappa, being an open-source project, relies on community contributions and may have varying levels of support and resources available to developers.

Google Cloud Functions vs Zappa

Overview

Google Cloud Functions vs Zappa: What are the differences?