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

Optimizely Full Stack vs Split

OverviewComparisonAlternatives

Overview

Split
Split
Stacks119
Followers121
Votes2
Optimizely Full Stack
Optimizely Full Stack
Stacks7
Followers14
Votes0

Split vs Optimizely Full Stack: What are the differences?

Developers describe Split as "*Split provides a unified solution for feature flags and experimentation *". 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. On the other hand, Optimizely Full Stack is detailed as "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.

Split and Optimizely Full Stack belong to "Feature Flags Management" category of the tech stack.

Some of the features offered by Split are:

  • Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics
  • Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time
  • Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results

On the other hand, Optimizely Full Stack provides the following key features:

  • Feature flags
  • Event tracking
  • Enterprise-ready security

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Detailed Comparison

Split
Split
Optimizely Full Stack
Optimizely Full Stack

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.

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.

Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics; Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time; Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results; Easy-to-use Web Console - Split's UI gives anyone on the team the power to target feature releases, ramp up features to your customers, and instantly kill problem features
Feature flags; Event tracking; Enterprise-ready security; Account-level experimentation; Open platform; Scalable architecture
Statistics
Stacks
119
Stacks
7
Followers
121
Followers
14
Votes
2
Votes
0
Pros & Cons
Pros
  • 1
    Affordable
  • 1
    Fast
No community feedback yet
Integrations
Datadog
Datadog
Librato
Librato
Slim Lang
Slim Lang
HipChat
HipChat
Sumo Logic
Sumo Logic
Rollbar
Rollbar
Papertrail
Papertrail
AppDynamics
AppDynamics
New Relic
New Relic
Slack
Slack
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 Split, 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.

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.

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.

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