Alternatives to Quarkus logo

Alternatives to Quarkus

Spring Boot, Spring, Kubernetes, Micronaut Framework, and Knative are the most popular alternatives and competitors to Quarkus.
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What is Quarkus and what are its top alternatives?

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.
Quarkus is a tool in the Java Tools category of a tech stack.
Quarkus is an open source tool with 8.9K GitHub stars and 1.6K GitHub forks. Here’s a link to Quarkus's open source repository on GitHub

Top Alternatives to Quarkus

  • Spring Boot

    Spring Boot

    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration. ...

  • Spring

    Spring

    A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...

  • Kubernetes

    Kubernetes

    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions. ...

  • Micronaut Framework

    Micronaut Framework

    It is a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications. It features a Dependency Injection and Aspect-Oriented Programming runtime that uses no reflection. ...

  • 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 ...

  • Java

    Java

    Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...

  • GraalVM

    GraalVM

    An ecosystem and shared runtime offering performance advantages not only to JVM-based languages such as Java, Scala, Groovy, and Kotlin, but also to programming languages as JavaScript, Ruby, Python, and R. Additionally, it enables the execution of native code on the JVM via LLVM front-end. ...

  • Dropwizard

    Dropwizard

    Dropwizard is a sneaky way of making fast Java web applications. Dropwizard pulls together stable, mature libraries from the Java ecosystem into a simple, light-weight package that lets you focus on getting things done. ...

Quarkus alternatives & related posts

Spring Boot logo

Spring Boot

17K
15K
914
Create Spring-powered, production-grade applications and services with absolute minimum fuss
17K
15K
+ 1
914
PROS OF SPRING BOOT
  • 135
    Powerful and handy
  • 127
    Easy setup
  • 118
    Java
  • 86
    Spring
  • 82
    Fast
  • 42
    Extensible
  • 34
    Lots of "off the shelf" functionalities
  • 29
    Cloud Solid
  • 23
    Caches well
  • 21
    Many receipes around for obscure features
  • 20
    Productive
  • 20
    Modular
  • 19
    Integrations with most other Java frameworks
  • 19
    Spring ecosystem is great
  • 18
    Fast Performance With Microservices
  • 17
    Auto-configuration
  • 16
    Community
  • 13
    Easy setup, Community Support, Solid for ERP apps
  • 13
    One-stop shop
  • 12
    Cross-platform
  • 12
    Easy to parallelize
  • 11
    Easy setup, good for build erp systems, well documented
  • 11
    Powerful 3rd party libraries and frameworks
  • 10
    Easy setup, Git Integration
  • 3
    It's so easier to start a project on spring
  • 3
    Kotlin
CONS OF SPRING BOOT
  • 19
    Heavy weight
  • 17
    Annotation ceremony
  • 10
    Many config files needed
  • 8
    Java
  • 5
    Reactive
  • 4
    Excellent tools for cloud hosting, since 5.x

related Spring Boot posts

Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

See more
Praveen Mooli
Engineering Manager at Taylor and Francis · | 14 upvotes · 2M views

We are in the process of building a modern content platform to deliver our content through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.

To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas

To build #Webapps we decided to use Angular 2 with RxJS

#Devops - GitHub , Travis CI , Terraform , Docker , Serverless

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Spring logo

Spring

3.3K
3.9K
1K
Provides a comprehensive programming and configuration model for modern Java-based enterprise applications
3.3K
3.9K
+ 1
1K
PROS OF SPRING
  • 220
    Java
  • 154
    Open source
  • 132
    Great community
  • 119
    Very powerful
  • 111
    Enterprise
  • 62
    Lot of great subprojects
  • 58
    Easy setup
  • 44
    Convention , configuration, done
  • 37
    Standard
  • 29
    Love the logic
  • 11
    Good documentation
  • 10
    Dependency injection
  • 9
    Stability
  • 6
    MVC
  • 6
    Easy
  • 3
    Strong typing
  • 3
    Makes the hard stuff fun & the easy stuff automatic
  • 2
    Code maintenance
  • 2
    Best practices
  • 2
    Maven
  • 2
    Great Desgin
  • 2
    Easy Integration with Spring Security
  • 2
    Integrations with most other Java frameworks
  • 1
    Java has more support and more libraries
  • 1
    Supports vast databases
  • 1
    Large ecosystem with seamless integration
  • 1
    OracleDb integration
  • 1
    Live project
CONS OF SPRING
  • 15
    Draws you into its own ecosystem and bloat
  • 3
    Verbose configuration
  • 3
    Poor documentation
  • 3
    Java
  • 1
    Java is more verbose language in compare to python

related Spring posts

Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

See more

I am consulting for a company that wants to move its current CubeCart e-commerce site to another PHP based platform like PrestaShop or Magento. I was interested in alternatives that utilize Node.js as the primary platform. I currently don't know PHP, but I have done full stack dev with Java, Spring, Thymeleaf, etc.. I am just unsure that learning a set of technologies not commonly used makes sense. For example, in PrestaShop, I would need to work with JavaScript better and learn PHP, Twig, and Bootstrap. It seems more cumbersome than a Node JS system, where the language syntax stays the same for the full stack. I am looking for thoughts and advice on the relevance of PHP skillset into the future AND whether the Node based e-commerce open source options can compete with Magento or Prestashop.

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Kubernetes logo

Kubernetes

38.7K
33K
628
Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops
38.7K
33K
+ 1
628
PROS OF KUBERNETES
  • 159
    Leading docker container management solution
  • 124
    Simple and powerful
  • 101
    Open source
  • 75
    Backed by google
  • 56
    The right abstractions
  • 24
    Scale services
  • 18
    Replication controller
  • 9
    Permission managment
  • 7
    Simple
  • 7
    Supports autoscaling
  • 6
    Cheap
  • 4
    Self-healing
  • 4
    Reliable
  • 4
    No cloud platform lock-in
  • 3
    Open, powerful, stable
  • 3
    Scalable
  • 3
    Quick cloud setup
  • 3
    Promotes modern/good infrascture practice
  • 2
    Backed by Red Hat
  • 2
    Runs on azure
  • 2
    Cloud Agnostic
  • 2
    Custom and extensibility
  • 2
    Captain of Container Ship
  • 2
    A self healing environment with rich metadata
  • 1
    Golang
  • 1
    Easy setup
  • 1
    Everything of CaaS
  • 1
    Sfg
  • 1
    Expandable
  • 1
    Gke
CONS OF KUBERNETES
  • 13
    Poor workflow for development
  • 11
    Steep learning curve
  • 5
    Orchestrates only infrastructure
  • 2
    High resource requirements for on-prem clusters

related Kubernetes posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Yshay Yaacobi

Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

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Micronaut Framework logo

Micronaut Framework

122
245
49
A JVM-based full-stack framework
122
245
+ 1
49
PROS OF MICRONAUT FRAMEWORK
  • 11
    Compilable to machine code
  • 8
    Tiny memory footprint
  • 6
    Tiny compiled code size
  • 6
    Almost instantaneous startup
  • 6
    Open source
  • 4
    High Escalability
  • 2
    Minimal overhead
  • 2
    Hasn't Servlet API
  • 2
    Simplified reactive programming
  • 1
    Jakarta EE
  • 1
    Serverless support
CONS OF MICRONAUT FRAMEWORK
  • 1
    No hot reload

related Micronaut Framework posts

Knative logo

Knative

67
248
15
Kubernetes-based platform for serverless workloads
67
248
+ 1
15
PROS OF KNATIVE
  • 4
    Portability
  • 3
    On top of Kubernetes
  • 3
    Autoscaling
  • 2
    Eventing
  • 2
    Open source
  • 1
    Secure Eventing
CONS OF KNATIVE
    Be the first to leave a con

    related Knative posts

    Java logo

    Java

    90.3K
    68K
    3.6K
    A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
    90.3K
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    + 1
    3.6K
    PROS OF JAVA
    • 583
      Great libraries
    • 439
      Widely used
    • 398
      Excellent tooling
    • 385
      Huge amount of documentation available
    • 330
      Large pool of developers available
    • 203
      Open source
    • 198
      Excellent performance
    • 154
      Great development
    • 148
      Vast array of 3rd party libraries
    • 147
      Used for android
    • 59
      Compiled Language
    • 49
      Used for Web
    • 46
      Managed memory
    • 44
      High Performance
    • 44
      Native threads
    • 41
      Statically typed
    • 35
      Easy to read
    • 33
      Great Community
    • 29
      Reliable platform
    • 24
      Sturdy garbage collection
    • 24
      JVM compatibility
    • 21
      Cross Platform Enterprise Integration
    • 20
      Good amount of APIs
    • 20
      Universal platform
    • 18
      Great Support
    • 13
      Great ecosystem
    • 11
      Backward compatible
    • 11
      Lots of boilerplate
    • 10
      Everywhere
    • 9
      Excellent SDK - JDK
    • 7
      Static typing
    • 6
      Mature language thus stable systems
    • 6
      Portability
    • 6
      Cross-platform
    • 6
      Long term language
    • 6
      Better than Ruby
    • 6
      It's Java
    • 5
      Vast Collections Library
    • 5
      Clojure
    • 5
      Used for Android development
    • 4
      Most developers favorite
    • 4
      Old tech
    • 3
      Testable
    • 3
      Javadoc
    • 3
      Best martial for design
    • 3
      Great Structure
    • 3
      Stable platform, which many new languages depend on
    • 2
      History
    CONS OF JAVA
    • 30
      Verbosity
    • 25
      NullpointerException
    • 16
      Overcomplexity is praised in community culture
    • 14
      Nightmare to Write
    • 11
      Boiler plate code
    • 8
      Classpath hell prior to Java 9
    • 6
      No REPL
    • 4
      No property
    • 2
      Floating-point errors
    • 2
      There is not optional parameter
    • 2
      Code are too long
    • 2
      Non-intuitive generic implementation
    • 1
      Returning Wildcard Types
    • 1
      Java's too statically, stronglly, and strictly typed
    • 1
      Terrbible compared to Python/Batch Perormence

    related Java posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 39 upvotes · 4.2M views

    How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

    Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

    Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

    https://eng.uber.com/distributed-tracing/

    (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

    Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

    See more
    Kamil Kowalski
    Lead Architect at Fresha · | 27 upvotes · 1.2M views

    When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

    See more
    GraalVM logo

    GraalVM

    49
    60
    0
    A universal virtual machine for running applications (by Oracle)
    49
    60
    + 1
    0
    PROS OF GRAALVM
      Be the first to leave a pro
      CONS OF GRAALVM
        Be the first to leave a con

        related GraalVM posts

        Dropwizard logo

        Dropwizard

        285
        320
        179
        Java framework for developing ops-friendly, high-performance, RESTful web services
        285
        320
        + 1
        179
        PROS OF DROPWIZARD
        • 27
          Quick and easy to get a new http service going
        • 23
          Health monitoring
        • 20
          Easy setup
        • 19
          Metrics integration
        • 18
          Good conventions
        • 14
          Lightweight
        • 14
          Good documentation
        • 12
          Java Powered
        • 10
          Good Testing frameworks
        • 7
          Java powered, lightweight
        • 4
          Simple
        • 4
          Scalable
        • 3
          Great performance, Good in prod
        • 2
          Open source
        • 2
          All in one-productive-production ready-makes life easy
        CONS OF DROPWIZARD
        • 2
          Slightly more confusing dependencies
        • 1
          Not on ThoughtWorks radar since 2014

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        Matt Menzenski
        Senior Software Engineering Manager at PayIt · | 12 upvotes · 81.1K views

        Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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        Application & Data

        Java JavaScript Node.js nginx Ubuntu MongoDB Amazon EC2 Redis Amazon S3 AWS Lambda RabbitMQ Kafka MySQL Spring Boot Dropwizard Vue.js Flutter

        Utilities

        Google Analytics Elasticsearch Amazon Route 53

        DevOps

        GitHub Docker Webpack CircleCI Jenkins Travis CI Gradle Apache Maven

        Cooperation Tools

        Jira notion.so Trello

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