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

Fission vs OpenFaaS

OverviewComparisonAlternatives

Overview

Fission
Fission
Stacks27
Followers81
Votes3
GitHub Stars8.8K
Forks788
OpenFaaS
OpenFaaS
Stacks54
Followers234
Votes17
GitHub Stars26.0K
Forks2.0K

Fission vs OpenFaaS: What are the differences?

Introduction

Fission and OpenFaaS are both serverless frameworks that aim to simplify the deployment and scaling of applications. While they have similar goals, there are several key differences between the two.

  1. Language Support: Fission supports a wide range of programming languages including Python, Ruby, Node.js, and Go. On the other hand, OpenFaaS primarily focuses on supporting Docker containers, allowing developers to use their preferred programming language within a containerized environment.

  2. Execution Model: Fission follows a "Functions as a Service" (FaaS) execution model, where functions are automatically deployed and scaled based on demand. OpenFaaS, on the other hand, supports both the traditional "Functions as a Service" model as well as a "Functions as a Service with Kubernetes" (FaaS-Kubernetes) model. This allows developers to choose between a more serverless-focused execution model or leverage the power and flexibility of Kubernetes.

  3. Deployment Flexibility: Fission provides a built-in, fully managed environment for deploying functions without the need for managing underlying infrastructure. OpenFaaS, on the other hand, offers more deployment flexibility by leveraging Kubernetes as its underlying platform. This allows developers to run functions in their own Kubernetes clusters, giving them greater control over their deployments.

  4. Community and Ecosystem: OpenFaaS has a larger and more mature community compared to Fission. It has a wide range of contributors and a vast ecosystem of community-driven plugins, templates, and integrations. Fission, although newer, is rapidly growing and gaining popularity but currently has a smaller community and ecosystem by comparison.

  5. Event Sources: Fission provides built-in support for a variety of event sources, including HTTP triggers, message queues, and databases. OpenFaaS also supports HTTP triggers but relies on external providers like NATS and Kafka for additional event sources. This gives Fission a more streamlined approach to integrating with various event-driven architectures.

  6. User Experience: Fission aims to provide a simpler user experience by abstracting away the complexities of infrastructure management. It focuses on easy installation, automated scaling, and seamless function deployments. OpenFaaS, while more flexible, requires some level of familiarity with Kubernetes and Docker. This gives Fission an advantage for developers looking for a more straightforward and quick setup.

In summary, Fission and OpenFaaS are both powerful serverless frameworks, but they differ in language support, execution models, deployment flexibility, community and ecosystem, event source integrations, and user experience. Choose Fission if you prefer a simpler setup and focus on programming languages, while OpenFaaS provides more flexibility and control through its integration with Kubernetes.

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Detailed Comparison

Fission
Fission
OpenFaaS
OpenFaaS

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.

Serverless Functions Made Simple for Docker and Kubernetes

Statistics
GitHub Stars
8.8K
GitHub Stars
26.0K
GitHub Forks
788
GitHub Forks
2.0K
Stacks
27
Stacks
54
Followers
81
Followers
234
Votes
3
Votes
17
Pros & Cons
Pros
  • 1
    Any language
  • 1
    Open source
  • 1
    Portability
Pros
  • 5
    Open source
  • 4
    Ease
  • 3
    Autoscaling
  • 2
    Documentation
  • 2
    Community
Integrations
Kubernetes
Kubernetes
Docker
Docker
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Fission, 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.

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.

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.

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