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  5. FF4J vs Quarkus

FF4J vs Quarkus

OverviewComparisonAlternatives

Overview

Quarkus
Quarkus
Stacks312
Followers382
Votes80
GitHub Stars15.2K
Forks3.0K
FF4J
FF4J
Stacks7
Followers16
Votes0
GitHub Stars1.4K
Forks286

FF4J vs Quarkus: What are the differences?

FF4J and Quarkus are two popular technologies used in web development. While both are used to build web applications, there are several key differences between the two.

  1. Architecture: FF4J is a feature toggle library that focuses on feature flag management, allowing developers to enable or disable features in an application. On the other hand, Quarkus is a full-fledged Java framework that aims to provide a fast and lightweight platform for building cloud-native applications.

  2. Supported languages: FF4J primarily supports Java, while Quarkus supports multiple languages including Java, Kotlin, Scala, and Groovy. This allows developers to have more flexibility in choosing their preferred language for web development.

  3. Deployment: FF4J can be easily integrated into existing applications, as it is a lightweight library that can be added as a dependency. On the contrary, Quarkus is a framework that provides an end-to-end solution for building applications, including features like built-in dependency injection and native image generation, which can simplify the deployment process.

  4. Performance: Quarkus is designed to be highly performant and can achieve fast startup times and low memory consumption. This is achieved by utilizing technologies like GraalVM and optimizing the application for running on a cloud-native environment. FF4J, being a feature toggle library, does not have similar performance optimizations built-in.

  5. Community and ecosystem: Quarkus has a larger and more active community compared to FF4J. This means there are more resources, tutorials, and community support available for Quarkus developers. Additionally, Quarkus has a wide range of extensions and integrations with other technologies, making it easier to integrate with existing systems and libraries. FF4J, while still actively developed, may have a smaller community and fewer integrations available.

  6. Use cases: FF4J is primarily used for feature flag management, making it suitable for applications where fine-grained control over feature enablement is required, such as A/B testing or gradual feature rollouts. Quarkus, on the other hand, is suitable for a wide range of web application development use cases, including microservices, serverless functions, and cloud-native applications.

In summary, FF4J is a feature toggle library focused on feature flag management, while Quarkus is a full-fledged Java framework for building cloud-native applications. Quarkus has a larger community, better performance optimizations, and a wider range of use cases, making it a more versatile choice for web development.

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Detailed Comparison

Quarkus
Quarkus
FF4J
FF4J

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.

It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

CONTAINER FIRST; UNIFIES IMPERATIVE AND REACTIVE; BEST OF BREED LIBRARIES AND STANDARDS
Feature Toggle; Role-based Toggling; Strategy-based Toggling; AOP-driven Toggling; Features Monitoring; Web Console; Wide choice of Databases; Spring Boot Starter; Command Line Interface
Statistics
GitHub Stars
15.2K
GitHub Stars
1.4K
GitHub Forks
3.0K
GitHub Forks
286
Stacks
312
Stacks
7
Followers
382
Followers
16
Votes
80
Votes
0
Pros & Cons
Pros
  • 13
    Open source
  • 13
    Fast startup
  • 12
    Low memory footprint
  • 11
    Produce native code
  • 10
    Hot Reload
Cons
  • 2
    Boilerplate code when using Reflection
No community feedback yet
Integrations
Kubernetes
Kubernetes
Apache Camel
Apache Camel
Hibernate
Hibernate
Netty
Netty
PostgreSQL
PostgreSQL
Elasticsearch
Elasticsearch
MongoDB
MongoDB
Cassandra
Cassandra
MariaDB
MariaDB
Spring Boot
Spring Boot
Java
Java
Redis
Redis
Amazon DynamoDB
Amazon DynamoDB
Consul
Consul

What are some alternatives to Quarkus, FF4J?

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.

ConfigCat

ConfigCat

Cross-platform feature flag service for Teams. It is a hosted or on-premise service with a web app for feature management, and SDKs for all major programming languages and technologies.

Unleash Hosted

Unleash Hosted

It is a simple feature management system. It gives you great overview of all feature toggles across all your applications. You decide who is exposed to which feature.

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.

LaunchDarkly

LaunchDarkly

Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.

Airship

Airship

Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

Flagr

Flagr

Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.

Split

Split

Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.

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