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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Azure Functions vs OpenFaaS

Azure Functions vs OpenFaaS

OverviewComparisonAlternatives

Overview

Azure Functions
Azure Functions
Stacks785
Followers705
Votes62
OpenFaaS
OpenFaaS
Stacks54
Followers234
Votes17
GitHub Stars26.0K
Forks2.0K

Azure Functions vs OpenFaaS: What are the differences?

Introduction

Azure Functions and OpenFaaS are both serverless computing platforms that allow developers to run code without having to worry about the underlying infrastructure. However, there are key differences between the two platforms that set them apart from each other.

  1. Language Support: Azure Functions supports multiple programming languages including C#, Java, JavaScript, PowerShell, and Python. On the other hand, OpenFaaS allows developers to use any language as long as it can be containerized. This provides more flexibility for developers who prefer using languages that are not natively supported by Azure Functions.

  2. Scaling: Azure Functions provides automatic scaling that dynamically allocates additional resources as the workload increases. This makes it ideal for applications with unpredictable traffic patterns. OpenFaaS, on the other hand, requires manual scaling where developers have to configure the number of replicas manually. While this allows for more fine-grained control over resource allocation, it requires more manual intervention compared to Azure Functions.

  3. Integration with Other Services: Azure Functions seamlessly integrates with other Azure services such as Azure Storage, Azure Event Hubs, and Azure Service Bus. This enables developers to build complex applications using a wide range of services. OpenFaaS, on the other hand, can be integrated with any service that supports HTTP requests and responses. This provides more flexibility in terms of service integration as it is not limited to a specific set of services.

  4. Deployment: Azure Functions is a fully managed service offered by Microsoft, which means that developers can focus solely on writing and deploying their code without worrying about managing the infrastructure. OpenFaaS, on the other hand, requires developers to set up and manage their own cluster of servers to run the functions. While this provides more control over the infrastructure, it also requires more effort and expertise in managing the underlying infrastructure.

  5. Pricing Model: Azure Functions has a consumption-based pricing model, which means that developers only pay for the resources used during the execution of their functions. This makes it cost-effective for applications with variable workloads. OpenFaaS, on the other hand, requires developers to provision and pay for a fixed number of servers regardless of the actual usage. This can lead to higher costs for applications with fluctuating workloads.

  6. Community and Ecosystem: Azure Functions has a strong community and a wide range of official integrations and extensions that developers can leverage to enhance their applications. It also has built-in support for monitoring, logging, and debugging features. OpenFaaS has an active and growing community, but its ecosystem is relatively smaller compared to Azure Functions. However, it provides more flexibility for developers to customize and extend the platform according to their specific requirements.

In summary, Azure Functions and OpenFaaS differ in terms of language support, scaling, integration with other services, deployment model, pricing, and community/ecosystem. Developers should consider these differences when choosing the right serverless computing platform for their applications.

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Detailed Comparison

Azure Functions
Azure Functions
OpenFaaS
OpenFaaS

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.

Serverless Functions Made Simple for Docker and Kubernetes

Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
-
Statistics
GitHub Stars
-
GitHub Stars
26.0K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
785
Stacks
54
Followers
705
Followers
234
Votes
62
Votes
17
Pros & Cons
Pros
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
Cons
  • 1
    Not suited for long-running applications
  • 1
    Sporadic server & language runtime issues
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
Pros
  • 5
    Open source
  • 4
    Ease
  • 3
    Autoscaling
  • 2
    Documentation
  • 2
    Community
Integrations
Azure DevOps
Azure DevOps
Java
Java
Bitbucket
Bitbucket
Node.js
Node.js
Microsoft Azure
Microsoft Azure
GitHub
GitHub
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
Azure Cosmos DB
Azure Cosmos DB
C#
C#
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Azure Functions, OpenFaaS?

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.

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.

Google Cloud Functions

Google Cloud Functions

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

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

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.

Fission

Fission

Write short-lived functions in any language, and map them to HTTP requests (or other event triggers). Deploy functions instantly with one command. There are no containers to build, and no Docker registries to manage.

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