StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Build Automation
  4. Feature Flags Management
  5. LaunchDarkly vs Split

LaunchDarkly vs Split

OverviewComparisonAlternatives

Overview

LaunchDarkly
LaunchDarkly
Stacks322
Followers309
Votes6
Split
Split
Stacks119
Followers121
Votes2

LaunchDarkly vs Split: What are the differences?

Introduction

This Markdown code provides a comparison between LaunchDarkly and Split, highlighting their key differences.

  1. Integration and Scalability: LaunchDarkly offers extensive integrations with various platforms, allowing seamless integration with multiple tools and services. It provides scalability features like unlimited feature flags and user targeting options, making it suitable for large-scale applications. On the other hand, Split also offers integrations but has more limited options. It may not have the same level of scalability as LaunchDarkly.

  2. Feature Flagging Capabilities: Both LaunchDarkly and Split provide feature flagging functionalities, allowing developers to control feature releases and toggle them on/off without affecting the entire codebase. However, LaunchDarkly offers a more robust set of capabilities, such as percentage rollouts, targeting users based on arbitrary user attributes, and A/B testing. Split, while offering basic feature flagging, may have more limited options in terms of targeting and testing.

  3. Experimentation and Insights: LaunchDarkly provides advanced experimentation capabilities, allowing developers to run experiments and measure their impact on user experience, metrics, and behavior. It provides insights through detailed analytics, enabling data-driven decision-making. Split also offers experimentation features but may not have the same level of granularity and insights as LaunchDarkly.

  4. Security and Compliance: LaunchDarkly prioritizes security and compliance, offering features like data encryption at rest and in transit, role-based access control, and compliance with industry standards (e.g., GDPR, SOC 2, HIPAA). Split also focuses on security but may not have the same range of compliance certifications and advanced security features as LaunchDarkly.

  5. Documentation and Support: LaunchDarkly provides comprehensive documentation, including guides, tutorials, and API references, making it easier for developers to understand and utilize its features. It offers various support options, including email support and a responsive community forum. Split also provides documentation and support, but the level of detail and community engagement may vary.

  6. Pricing and Plan Options: LaunchDarkly offers flexible pricing plans, allowing users to select the most suitable option based on their needs and budget. It offers a free tier with limited features and paid plans with additional functionalities. Split also has pricing plans but may have different pricing structures or limitations compared to LaunchDarkly.

In Summary, LaunchDarkly provides more extensive integration options, scalability, advanced feature flagging capabilities, experimentation and insights, and prioritizes security and compliance. It offers comprehensive documentation and flexible pricing plans. Split may have more limited integrations and scalability, basic feature flagging options, less advanced experimentation features, and a different approach to security and compliance. Documentation and support may vary, and pricing structures could differ between the two tools.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

LaunchDarkly
LaunchDarkly
Split
Split

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.

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.

Create custom environments;Team management;Create goals;Target or exclude user segments;New Relic integration;Optimizely integration;Audit logging;Custom roles and permissions
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
Statistics
Stacks
322
Stacks
119
Followers
309
Followers
121
Votes
6
Votes
2
Pros & Cons
Pros
  • 6
    Easy to use UI
Pros
  • 1
    Affordable
  • 1
    Fast
Integrations
No integrations available
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

What are some alternatives to LaunchDarkly, Split?

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.

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.

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.

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

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.

Optimizely Rollouts

Optimizely Rollouts

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana