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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. Knative vs StackPath Serverless EdgeEngine

Knative vs StackPath Serverless EdgeEngine

OverviewComparisonAlternatives

Overview

Knative
Knative
Stacks86
Followers342
Votes21
GitHub Stars5.9K
Forks1.2K
StackPath Serverless EdgeEngine
StackPath Serverless EdgeEngine
Stacks2
Followers9
Votes0

Knative vs StackPath Serverless EdgeEngine: What are the differences?

What is Knative? 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.

What is StackPath Serverless EdgeEngine? Deploy and execute functions on the edge. Scripts are deployed to all StackPath edge locations but executed in the edge location closest to the end user to decrease latency and improve app performance.

Knative and StackPath Serverless EdgeEngine can be categorized as "Serverless / Task Processing" tools.

Some of the features offered by Knative are:

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

On the other hand, StackPath Serverless EdgeEngine provides the following key features:

  • 45+ edge locations
  • Built on the Chrome V8 JavaScript Engine
  • WebAssembly support

Knative is an open source tool with 2.02K GitHub stars and 394 GitHub forks. Here's a link to Knative's open source repository on GitHub.

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Detailed Comparison

Knative
Knative
StackPath Serverless EdgeEngine
StackPath Serverless EdgeEngine

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

Scripts are deployed to all StackPath edge locations but executed in the edge location closest to the end user to decrease latency and improve app performance.

Serving - Scale to zero, request-driven compute model; Build - Cloud-native source to container orchestration; Events - Universal subscription, delivery and management of events; Serverless add-on on GKE - Enable GCP managed serverless stack on Kubernetes
45+ edge locations; Built on the Chrome V8 JavaScript Engine; WebAssembly support; Customer portal and CLI tool; API
Statistics
GitHub Stars
5.9K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
86
Stacks
2
Followers
342
Followers
9
Votes
21
Votes
0
Pros & Cons
Pros
  • 5
    Portability
  • 4
    Autoscaling
  • 3
    On top of Kubernetes
  • 3
    Open source
  • 3
    Eventing
No community feedback yet
Integrations
Google Kubernetes Engine
Google Kubernetes Engine
JavaScript
JavaScript
Python
Python
PHP
PHP
Rust
Rust
C++
C++
Perl
Perl
StackPath
StackPath

What are some alternatives to Knative, StackPath Serverless EdgeEngine?

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

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.

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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