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. Flagr vs LaunchDarkly vs Roll out

Flagr vs LaunchDarkly vs Roll out

OverviewComparisonAlternatives

Overview

LaunchDarkly
LaunchDarkly
Stacks322
Followers309
Votes6
Flagr
Flagr
Stacks7
Followers35
Votes4
Rollout
Rollout
Stacks12
Followers23
Votes0

Flagr vs LaunchDarkly vs Roll out: What are the differences?

# Introduction

Key differences between Flagr and LaunchDarkly and Rollout are outlined below:

1. **Feature Flagging vs. Experimentation**:
Flagr primarily focuses on feature flagging, allowing developers to control the release of new features and changes. LaunchDarkly, on the other hand, emphasizes A/B testing and experimentation, enabling teams to gather data and analyze performance before rolling out new features. Rollout offers a combination of both feature flagging and experimentation capabilities, providing flexibility to tailor the approach based on the project requirements.

2. **Implementation and Integration**:
Flagr is an open-source feature flagging and experimentation platform that can be self-hosted, offering greater control over the implementation and data privacy. In contrast, LaunchDarkly is a SaaS solution with cloud-based hosting, simplifying setup and maintenance but potentially raising concerns about data security. Rollout, similar to Flagr, offers self-hosted options but also provides a managed service for those preferring a cloud-based solution, offering a middle ground for implementation preferences.
   
3. **Scalability and Performance**:
LaunchDarkly is known for its robust infrastructure and scalability, catering to enterprise-level workloads with high performance and reliability. Flagr, being open-source, may require additional optimizations and monitoring to achieve the same level of scalability. Rollout, with its flexible deployment options, can adapt to varying scalability needs, allowing teams to adjust resources based on demand without compromising performance.

4. **Cost and Pricing Model**:
LaunchDarkly follows a subscription-based pricing model, offering different tiers based on feature sets and usage limits, which may be cost-effective for smaller teams but could become expensive as the user base grows. Flagr, being open-source, eliminates licensing costs but requires resources for maintenance and support, potentially balancing out the overall cost over time. Rollout's pricing model combines both subscription options and self-hosted configurations, providing pricing flexibility based on the preferred deployment method and features required.

5. **Community Support and Ecosystem**:
Flagr benefits from a vibrant open-source community contributing to its development and extensions, offering a wide range of integrations and plugins for different use cases. LaunchDarkly, as a commercial platform, provides dedicated support and documentation, ensuring a streamlined user experience but with limited community-driven enhancements. Rollout combines aspects of both approaches, offering community support for its open-source version and additional resources for the managed service, blending the benefits of community-driven innovation with professional support.

6. **Feature Set and Customization**:
LaunchDarkly offers a comprehensive feature set with advanced capabilities for targeting, rollout rules, and analytics, designed to meet the diverse needs of enterprise applications. Flagr focuses on core feature flagging functionalities, providing a lightweight solution suitable for simpler use cases that prioritize speed and simplicity. Rollout combines essential feature flagging features with additional experimentation tools, offering a balanced approach for teams requiring both feature control and testing capabilities.

In Summary, Flagr, LaunchDarkly, and Rollout each offer unique strengths in feature flagging, experimentation, and release management, catering to different preferences in implementation, scale, pricing, community support, and feature set.

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

LaunchDarkly
LaunchDarkly
Flagr
Flagr
Rollout
Rollout

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.

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

Advanced feature flag solution that lets your dev teams quickly build & deploy applications without compromising on safety. A simple way to define target audiences allows devs & PMs optimize feature releases and customize user experience

Create custom environments;Team management;Create goals;Target or exclude user segments;New Relic integration;Optimizely integration;Audit logging;Custom roles and permissions
Makes the rollout process easy; Supports feature flagging, A/B testing, and dynamic configuration; Can run multi-variants experimentation; Not limited to binary on/off toggles; Can target any audience, using rich constraints to define user segmentation; Logs data records and impressions
Enterprise Feature Flag; Enterprise-Grade Security and Privacy; Advanced User Testing, Flexible Progressive Delivery; Developer-Friendly Workflows; Integration with Jenkins and CloudBees CI; Bi-directional configuration as code; automated percentage rollout; version split; 15 users free
Statistics
Stacks
322
Stacks
7
Stacks
12
Followers
309
Followers
35
Followers
23
Votes
6
Votes
4
Votes
0
Pros & Cons
Pros
  • 6
    Easy to use UI
Pros
  • 3
    Open Source
  • 1
    Multi-variant
No community feedback yet
Integrations
No integrations available
Golang
Golang
JavaScript
JavaScript
Ruby
Ruby
Python
Python
Python
Python
Ruby
Ruby
PHP
PHP
.NET
.NET
C++
C++
C lang
C lang
TypeScript
TypeScript
Node.js
Node.js
JavaScript
JavaScript
Android SDK
Android SDK

What are some alternatives to LaunchDarkly, Flagr, Rollout?

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.

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.

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.

Flagsmith

Flagsmith

It lets you manage features flags and remote config across web, mobile and server side applications. Use our hosted API, deploy to your own private cloud, or run on-premises.

Bullet Train

Bullet Train

Manage feature flags across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features.

FF4J

FF4J

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.

Optimizely Full Stack

Optimizely Full Stack

It is an experimentation and feature flagging platform for websites, mobile apps, chatbots, APIs, smart devices, and anything else with a network connection. You can deploy code behind feature flags, experiment with A/B tests, and rollout or rollback features immediately. All of this functionality is available with zero performance impact via easy-to-use SDKs.

Flagship.io

Flagship.io

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases.

DevCycle

DevCycle

It helps modern product engineering teams release code faster and safer. It is a new vision for feature flags that goes beyond risk reduction and enables dev teams to maximize feature impact, with a focus on usability and key integrations from day 1.

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