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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Feature Flags Management
  5. Flagr vs Optimizely Rollouts

Flagr vs Optimizely Rollouts

OverviewComparisonAlternatives

Overview

Flagr
Flagr
Stacks7
Followers35
Votes4
Optimizely Rollouts
Optimizely Rollouts
Stacks4
Followers28
Votes0

Flagr vs Optimizely Rollouts: What are the differences?

### Key Differences between Flagr and Optimizely Rollouts
Flagr and Optimizely Rollouts are both feature flag management and A/B testing tools but have some key differences that set them apart. Here are the main differences between the two platforms:

1. **Sign-up and Cost**: Flagr is open-source software that can be self-hosted for free, while Optimizely Rollouts is a paid service with different pricing plans depending on the scale and features required.
2. **Integration and Compatibility**: Flagr is designed to support various integrations and can be easily integrated into existing systems using APIs, whereas Optimizely Rollouts may offer more robust integration options with specific platforms or services.
3. **Flexibility and Customization**: Flagr provides more flexibility and customization options for creating experiments and feature flags compared to Optimizely Rollouts, which may have more structured templates and predefined settings.
4. **Team Collaboration**: Flagr may offer better team collaboration features such as user roles and permissions, making it easier to manage access and control within the platform, while Optimizely Rollouts may have more basic collaboration capabilities.
5. **Advanced Testing Capabilities**: Optimizely Rollouts may have more advanced testing capabilities and analytics tools for monitoring and optimizing experiments, while Flagr might cater more towards simple feature flagging and basic A/B testing needs.
6. **Community Support and Updates**: Flagr being an open-source project may have more active community support for issue resolution and regular updates, while Optimizely Rollouts may rely more on its in-house team for maintenance and support.

In Summary, Flagr offers free, open-source self-hosted feature flag management with enhanced flexibility and customization options, whereas Optimizely Rollouts is a paid service with potentially more advanced testing capabilities and integration options.

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Detailed Comparison

Flagr
Flagr
Optimizely Rollouts
Optimizely Rollouts

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

It is unlimited free feature flags and rollouts built on an enterprise-grade platform. Manage your features remotely and roll them out gradually to targeted audiences, without re-deploying your code. Connect Rollouts with Jira and invite your product and engineering teams to work together.

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
Unlimited feature flags; Staged rollouts; REST API; Roll out everywhere; Change history; Audience targeting; Cloud dashboard; Advanced user permissions; Enterprise security and compliance
Statistics
Stacks
7
Stacks
4
Followers
35
Followers
28
Votes
4
Votes
0
Pros & Cons
Pros
  • 3
    Open Source
  • 1
    Multi-variant
No community feedback yet
Integrations
Golang
Golang
JavaScript
JavaScript
Ruby
Ruby
Python
Python
React
React
Python
Python
C#
C#
Jira
Jira
Node.js
Node.js
Java
Java
JavaScript
JavaScript
Golang
Golang
Ruby
Ruby
PHP
PHP

What are some alternatives to Flagr, Optimizely Rollouts?

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.

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.

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.

Rollout

Rollout

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

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.

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.

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.

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