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

Apache OpenWhisk vs Fission

OverviewComparisonAlternatives

Overview

Fission
Fission
Stacks27
Followers81
Votes3
GitHub Stars8.8K
Forks788
Apache OpenWhisk
Apache OpenWhisk
Stacks58
Followers149
Votes7

Apache OpenWhisk vs Fission: What are the differences?

<Apache OpenWhisk vs Fission>

1. **Runtime Support**: Apache OpenWhisk supports multiple programming languages for creating functions, including Node.js, Java, Python, Swift, and PHP. On the other hand, Fission primarily focuses on supporting functions written in Node.js and Python, which may limit the options for developers who prefer other languages.
  
2. **Scaling**: Apache OpenWhisk has built-in auto-scaling capabilities that allow functions to scale based on demand, ensuring optimal performance in varying workloads. Fission requires external tools like Kubernetes Horizontal Pod Autoscaler for scaling, which adds complexity and potentially increases the learning curve for users.

3. **Workflow Orchestration**: Apache OpenWhisk provides a more robust workflow orchestration feature through its support for creating sequences and triggers, allowing developers to automate complex tasks easily. Fission, while capable of executing functions in response to events, lacks the same level of workflow orchestration capabilities, making it less suitable for intricate automation requirements.

4. **Monitoring and Logging**: Apache OpenWhisk offers comprehensive monitoring and logging tools out of the box, simplifying the process of tracking and analyzing the performance of functions. In contrast, Fission's monitoring and logging capabilities may require integration with external tools or services, leading to additional setup and configuration efforts for users.

5. **Community and Support**: Apache OpenWhisk benefits from a larger community of contributors and users, translating to a more extensive pool of resources, documentation, and community support. Fission, being a relatively newer project, may have a smaller community base, potentially impacting the availability of help and resources for users seeking assistance or guidance.

6. **Deployment Flexibility**: Apache OpenWhisk offers deployment flexibility by supporting on-premises, cloud, and hybrid cloud environments, accommodating diverse deployment preferences. While Fission is also deployable across different environments, its focus on Kubernetes-based deployments may require familiarity with Kubernetes for users seeking seamless deployment options outside of this ecosystem.

In Summary, Apache OpenWhisk and Fission differ in terms of runtime support, scaling mechanisms, workflow orchestration capabilities, monitoring and logging features, community support, and deployment flexibility.

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Detailed Comparison

Fission
Fission
Apache OpenWhisk
Apache OpenWhisk

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.

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.

-
Serverless functions;FaaS;Fine-grained resource consumption;Use any language;Containers as functions; service;Functions-as-a-Service;Function composition;Step Functions;Docker;Kubernetes;Open source community;Apache
Statistics
GitHub Stars
8.8K
GitHub Stars
-
GitHub Forks
788
GitHub Forks
-
Stacks
27
Stacks
58
Followers
81
Followers
149
Votes
3
Votes
7
Pros & Cons
Pros
  • 1
    Open source
  • 1
    Portability
  • 1
    Any language
Pros
  • 4
    You are not tied to a provider. IBM available however
  • 3
    Still exploring... its just intresting
Integrations
Kubernetes
Kubernetes
Docker
Docker
Node.js
Node.js
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
Python
Python
npm
npm
Kubernetes
Kubernetes
Docker
Docker
Swift
Swift
Java
Java
Slack
Slack

What are some alternatives to Fission, Apache OpenWhisk?

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

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.

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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