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

Optimizely Full Stack vs Petri

OverviewComparisonAlternatives

Overview

Petri
Petri
Stacks3
Followers32
Votes0
Optimizely Full Stack
Optimizely Full Stack
Stacks7
Followers14
Votes0

Petri vs Optimizely Full Stack: What are the differences?

Petri: 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; Optimizely Full Stack: Build better products faster. 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.

Petri and Optimizely Full Stack can be primarily classified 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 Full Stack provides the following key features:

  • Feature flags
  • Event tracking
  • Enterprise-ready security

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 Full Stack
Optimizely Full Stack

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

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.

A/B tests; Feature toggle; Feature flags; Gradual rollout
Feature flags; Event tracking; Enterprise-ready security; Account-level experimentation; Open platform; Scalable architecture
Statistics
Stacks
3
Stacks
7
Followers
32
Followers
14
Votes
0
Votes
0
Integrations
Amplitude
Amplitude
Scala
Scala
Google Analytics
Google Analytics
Java
Java
Objective-C
Objective-C
Python
Python
C#
C#
Swift
Swift
Node.js
Node.js
Java
Java
JavaScript
JavaScript
Ruby
Ruby
PHP
PHP

What are some alternatives to Petri, Optimizely Full Stack?

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.

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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