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

Knative vs Quarkus

OverviewComparisonAlternatives

Overview

Knative
Knative
Stacks86
Followers342
Votes21
GitHub Stars5.9K
Forks1.2K
Quarkus
Quarkus
Stacks311
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K

Knative vs Quarkus: What are the differences?

Introduction

Here, we will discuss the key differences between Knative and Quarkus in the context of their features and capabilities.

  1. Knative: Knative is an open-source platform that allows developers to build, deploy, and manage serverless workloads on Kubernetes. It provides a set of higher-level abstractions with the aim of simplifying the deployment and scaling of applications. Knative offers features such as eventing, scale-to-zero, and automatic scaling, enabling serverless development.

  2. Quarkus: Quarkus, on the other hand, is a Kubernetes-native Java framework designed specifically for building Java-based applications. It aims to optimize applications for fast startup time and low memory footprint, allowing for efficient cloud-native development. Quarkus leverages technologies like GraalVM and SubstrateVM to achieve these optimizations.

  3. Runtime: Knative primarily focuses on providing a runtime for serverless workloads, allowing developers to write functions or services that can scale automatically based on demand. Quarkus, on the contrary, aims to enhance the development experience for Java applications by reducing startup time and memory consumption, making it suitable for both serverless and traditional deployment scenarios.

  4. Language Compatibility: Knative supports multiple programming languages such as Java, Node.js, Python, etc., allowing developers to use their preferred language for building serverless workloads. Quarkus is specifically designed for Java development, offering a streamlined development experience and native integration with Java frameworks and libraries.

  5. Developer Experience: Knative abstracts away many deployment and scaling complexities, providing developers with a higher-level interface for managing serverless workloads. Quarkus, on the other hand, focuses on improving the development experience by offering features like live coding and hot reloading, enabling rapid iteration and debugging.

  6. Community and Ecosystem: Knative has a vibrant and active community around it, with continuous contributions and updates from various organizations. Quarkus, being a Java-based framework, benefits from the extensive Java ecosystem and has a growing community that actively supports and contributes to its development.

In summary, Knative is primarily focused on providing a serverless runtime for Kubernetes, while Quarkus is a Kubernetes-native framework optimized for Java development. While Knative abstracts deployment complexities, Quarkus aims to enhance the Java development experience with faster startup times and reduced memory footprint.

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Detailed Comparison

Knative
Knative
Quarkus
Quarkus

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

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

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
CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Statistics
GitHub Stars
5.9K
GitHub Stars
15.2K
GitHub Forks
1.2K
GitHub Forks
3.0K
Stacks
86
Stacks
311
Followers
342
Followers
382
Votes
21
Votes
80
Pros & Cons
Pros
  • 5
    Portability
  • 4
    Autoscaling
  • 3
    Secure Eventing
  • 3
    Eventing
  • 3
    Open source
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 12
    Low memory footprint
  • 11
    Produce native code
  • 10
    Integrated with GraalVM
Cons
  • 2
    Boilerplate code when using Reflection
Integrations
Google Kubernetes Engine
Google Kubernetes Engine
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty

What are some alternatives to Knative, Quarkus?

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

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

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.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

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