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

Optimizely Rollouts vs Unleash Hosted

OverviewComparisonAlternatives

Overview

Unleash Hosted
Unleash Hosted
Stacks32
Followers41
Votes13
Optimizely Rollouts
Optimizely Rollouts
Stacks4
Followers28
Votes0

Optimizely Rollouts vs Unleash Hosted: What are the differences?

Introduction

In this comparison, we will highlight the key differences between Optimizely Rollouts and Unleash Hosted.

  1. Feature Flag Management: Optimizely Rollouts offers comprehensive feature flag management with advanced capabilities such as targeting, experimentation, and monitoring. On the other hand, Unleash Hosted provides a more basic feature flag management system without advanced targeting or experimentation functionalities.

  2. Integration Capabilities: Optimizely Rollouts seamlessly integrates with Optimizely's broader platform, allowing for easy access to experimentation and personalization features. In contrast, Unleash Hosted is a standalone feature management tool with limited integration capabilities.

  3. Scalability: Optimizely Rollouts is designed to handle large-scale feature flagging needs, making it suitable for enterprise-level applications with high traffic volumes. Unleash Hosted, while reliable, may face scalability challenges when dealing with a large number of feature flags or users.

  4. Customization Options: Optimizely Rollouts provides extensive customization options for feature flagging workflows, allowing users to tailor the tool to their specific requirements. Unleash Hosted, while customizable to some extent, may lack the flexibility needed for complex use cases.

  5. Support and Maintenance: Optimizely Rollouts offers dedicated support and maintenance as part of its subscription service, ensuring timely assistance and updates for users. In comparison, Unleash Hosted may have more limited support options, potentially leading to longer resolution times for issues.

In Summary, Optimizely Rollouts provides comprehensive feature flag management with advanced capabilities, integration options, scalability, customization, and dedicated support, making it a suitable choice for enterprise applications. On the other hand, Unleash Hosted offers a more basic feature flag management tool with limited integration capabilities and support options.

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Detailed Comparison

Unleash Hosted
Unleash Hosted
Optimizely Rollouts
Optimizely Rollouts

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.

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.

Centralised dashboard; Gradual rollout; Kill-switch; Audit logging; Custom activation strategies; GDPR compliant
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
32
Stacks
4
Followers
41
Followers
28
Votes
13
Votes
0
Pros & Cons
Pros
  • 5
    Open-Source
  • 3
    Multi-environment support
  • 3
    Self-hosted option
  • 1
    Easy to use UI
  • 1
    Easy Integration
No community feedback yet
Integrations
JavaScript
JavaScript
Node.js
Node.js
Ruby
Ruby
Python
Python
Java
Java
Golang
Golang
.NET
.NET
Elixir
Elixir
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 Unleash Hosted, 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.

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.

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.

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.

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.

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.

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