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Apache OpenWhisk
Apache OpenWhisk

15
50
+ 1
1
Knative
Knative

30
70
+ 1
11
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Apache OpenWhisk vs Knative: What are the differences?

Developers describe Apache OpenWhisk as "A serverless, open-source cloud platform". Apache OpenWhisk (incubating) is a serverless, open source cloud platform that executes functions in response to events at any scale. On the other hand, Knative is detailed as "Kubernetes-based platform for serverless workloads". 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.

Apache OpenWhisk and Knative belong to "Serverless / Task Processing" category of the tech stack.

Some of the features offered by Apache OpenWhisk are:

  • Fine-grained resource consumption
  • Use any language, any service
  • Plug your service into Apache OpenWhisk

On the other hand, Knative provides the following key features:

  • Serving - Scale to zero, request-driven compute model
  • Build - Cloud-native source to container orchestration
  • Events - Universal subscription, delivery and management of events

Apache OpenWhisk and Knative are both open source tools. It seems that Apache OpenWhisk with 4.07K GitHub stars and 788 forks on GitHub has more adoption than Knative with 1.93K GitHub stars and 378 GitHub forks.

What is Apache OpenWhisk?

Apache OpenWhisk (incubating) is a serverless, open source cloud platform that executes functions in response to events at any scale.

What is 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
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      What are some alternatives to Apache OpenWhisk and Knative?
      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.
      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.
      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.
      Google Cloud Functions
      Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
      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.
      See all alternatives
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