StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Build Automation
  4. Feature Flags Management
  5. FF4J vs Split

FF4J vs Split

OverviewComparisonAlternatives

Overview

Split
Split
Stacks119
Followers121
Votes2
FF4J
FF4J
Stacks7
Followers16
Votes0
GitHub Stars1.4K
Forks286

Split vs FF4J: What are the differences?

Developers describe Split as "*Split provides a unified solution for feature flags and experimentation *". 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. On the other hand, FF4J is detailed as "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.

Split and FF4J belong to "Feature Flags Management" category of the tech stack.

Some of the features offered by Split are:

  • Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics
  • Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time
  • Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results

On the other hand, FF4J provides the following key features:

  • Feature Toggle
  • Role-based Toggling
  • Strategy-based Toggling

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Split
Split
FF4J
FF4J

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.

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.

Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics; Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time; Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results; Easy-to-use Web Console - Split's UI gives anyone on the team the power to target feature releases, ramp up features to your customers, and instantly kill problem features
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
-
GitHub Stars
1.4K
GitHub Forks
-
GitHub Forks
286
Stacks
119
Stacks
7
Followers
121
Followers
16
Votes
2
Votes
0
Pros & Cons
Pros
  • 1
    Affordable
  • 1
    Fast
No community feedback yet
Integrations
Datadog
Datadog
Librato
Librato
Slim Lang
Slim Lang
HipChat
HipChat
Sumo Logic
Sumo Logic
Rollbar
Rollbar
Papertrail
Papertrail
AppDynamics
AppDynamics
New Relic
New Relic
Slack
Slack
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 Split, FF4J?

Quarkus

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

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana