guava vs FF4J Comparison | StackShare | StackShare

FF4J vs guava

Overview

guava

Stacks1.2K

Followers193

Votes6

GitHub Stars51.2K

Forks11.1K

FF4J

Stacks7

Followers16

Votes0

GitHub Stars1.4K

Forks286

guava vs FF4J: What are the differences?

What is guava? Google Core Libraries for Java 6+. 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.

What is FF4J? Feature Flags for Java made easy. 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.

guava and FF4J are primarily classified as "Java" and "Feature Flags Management" tools respectively.

guava is an open source tool with 38.3K GitHub stars and 8.59K GitHub forks. Here's a link to guava's open source repository on GitHub.

Detailed Comparison

guava	FF4J
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.	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.
-	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 51.2K	GitHub Stars 1.4K
GitHub Forks 11.1K	GitHub Forks 286
Stacks 1.2K	Stacks 7
Followers 193	Followers 16
Votes 6	Votes 0
Pros & Cons
Pros 5 Interface Driven API 1 Easy to setup	No community feedback yet
Integrations
No integrations available	PostgreSQL Elasticsearch MongoDB Cassandra MariaDB Spring Boot Java Redis Amazon DynamoDB Consul

What are some alternatives to guava, FF4J?

Quarkus

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.

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

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

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.

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

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

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

Flagr

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

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.