Optimizely Rollouts vs Split: What are the differences?

Introduction

Optimizely Rollouts and Split are two popular feature flagging and experimentation platforms that can be used to manage feature releases and A/B testing in software development. While they both serve similar purposes, there are some key differences between the two.

1. Feature Flagging Flexibility: Optimizely Rollouts offers more flexible feature flagging capabilities compared to Split. With Optimizely Rollouts, you can create simple feature flags as well as more advanced variations like percentage rollouts and user segmentation. Split, on the other hand, primarily focuses on feature flagging and doesn't provide as many options for complex rollout strategies.

2. Experimentation Capabilities: Split provides more extensive experimentation capabilities compared to Optimizely Rollouts. Split allows you to conduct various types of experiments such as A/B tests, multivariate tests, and canary releases. It offers advanced statistical analysis and personalized targeting options to help you make data-driven decisions. Optimizely Rollouts, on the other hand, is more focused on feature flagging and doesn't provide the same level of experimentation features.

3. Integration with Analytics Tools: Optimizely Rollouts integrates seamlessly with Optimizely's broader experimentation platform, which includes advanced analytics and reporting features. If you are already using Optimizely for other experimentation purposes, Rollouts can fit well into your existing workflow. Split, on the other hand, provides integrations with various analytics and monitoring tools, giving you the flexibility to choose the analytics solution that best suits your needs.

4. Client SDK Support: Split offers a wide range of client SDKs for different programming languages, including JavaScript, Python, Java, Ruby, and many more. This allows you to easily implement feature flags and experiments in your codebase regardless of the language you are using. Optimizely Rollouts also provides SDKs for popular programming languages, but they may not have the same level of language coverage as Split.

5. Ease of Use: Optimizely Rollouts is known for its user-friendly and intuitive interface, making it easy for non-technical team members to create and manage feature flags. Split, on the other hand, has a more developer-centric approach and may require some technical expertise to fully utilize its capabilities.

6. Pricing Model: Optimizely Rollouts follows a free-tier model, allowing you to use its feature flagging capabilities without any cost. However, if you want to access additional experimentation features and advanced analytics, you need to upgrade to Optimizely's paid plans. Split, on the other hand, offers both free and paid plans, with different tiers based on your organization's needs and usage.

In Summary, Optimizely Rollouts provides flexible feature flagging capabilities with seamless integration with Optimizely's broader experimentation platform, while Split offers extensive experimentation features with a wide range of client SDK support. The choice between the two depends on your specific requirements and preferences.