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

Optimizely Rollouts vs Petri

OverviewComparisonAlternatives

Overview

Petri
Petri
Stacks3
Followers32
Votes0
Optimizely Rollouts
Optimizely Rollouts
Stacks4
Followers28
Votes0

Petri vs Optimizely Rollouts: What are the differences?

Developers describe Petri as "A/B Test and Feature Toggles system". Open source, holistic experiment system, that covers the lifecycle of product experimenting including A/B tests and feature toggles. On the other hand, Optimizely Rollouts is detailed as "Ship faster with less risk". 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.

Petri and Optimizely Rollouts can be categorized as "Feature Flags Management" tools.

Some of the features offered by Petri are:

  • A/B Tests
  • Feature Toggle
  • Feature Flags

On the other hand, Optimizely Rollouts provides the following key features:

  • Unlimited feature flags
  • Staged rollouts
  • REST API

Petri is an open source tool with 246 GitHub stars and 30 GitHub forks. Here's a link to Petri's open source repository on GitHub.

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Detailed Comparison

Petri
Petri
Optimizely Rollouts
Optimizely Rollouts

Open source, holistic experiment system, that covers the lifecycle of product experimenting including A/B tests and feature toggles.

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.

A/B tests; Feature toggle; Feature flags; Gradual rollout
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
3
Stacks
4
Followers
32
Followers
28
Votes
0
Votes
0
Integrations
Amplitude
Amplitude
Scala
Scala
Google Analytics
Google Analytics
Java
Java
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 Petri, 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.

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.

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.

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