Split Overview
Split is a feature delivery platform that enables software teams to release features safely and measure their impact. It combines feature flags, experimentation, and continuous delivery to help developers deploy code faster and with less risk, while providing data-driven insights to product managers.
Key Features of Split
- Feature Flags: Control the release of new features with granular targeting and rollout capabilities.
- A/B Testing: Run experiments to measure the impact of new features on key business metrics.
- Data-Driven Insights: Gather real-time metrics and analytics to inform product decisions.
- Continuous Delivery: Integrate with CI/CD pipelines for seamless feature releases.
- Targeted Rollouts: Deploy features to specific user segments based on attributes or behavior.
What Makes Split Unique
- Integrated Platform: Combines feature flagging, experimentation, and analytics in a single solution.
- Real-Time Evaluation: Offers millisecond-level feature flag evaluations for high-performance applications.
- Advanced Targeting: Provides powerful targeting capabilities based on user attributes and behaviors.
- Impact Analysis: Offers detailed insights into how feature changes affect key business metrics.
- Language-Specific SDKs: Provides native SDKs for multiple programming languages, ensuring optimal performance.
Is Split Right for Me?
Split is ideal for software development teams looking to implement feature flagging and experimentation in their development process. It's particularly suited for organizations that want to make data-driven decisions about feature releases and improve their continuous delivery practices.
Signs You Need Split
You're struggling with risky deployments
- Frequent rollbacks of new features
- Extended downtime during releases
- Customer complaints about buggy updates
When Split Isn’t the Right Fit
You have a simple, monolithic application
- Single codebase with infrequent updates
- Small user base with homogeneous needs
Customizing Split
- Custom Attributes: Define and use custom user attributes for targeted rollouts
- Integrations: Connect Split with your existing tools and workflows
- API Access: Build custom applications or dashboards using Split's API
- SDKs: Use language-specific SDKs for optimal integration with your tech stack
- Customizable Metrics: Define and track custom metrics relevant to your business objectives
Is Split Worth It?
Split is worth it for companies looking to optimize their product development and feature rollouts through data-driven experimentation and feature flagging. Its ability to reduce risk, accelerate time-to-market, and improve user experiences can lead to significant ROI for mid-size to enterprise-level organizations with complex product ecosystems. However, for small startups or companies with simple products and infrequent releases, Split's advanced capabilities might exceed current needs and budget constraints.
How Much Does Split Cost?
Pricing is one of the most important evaluation factors when buying software. We have pricing
insights contributed by current and former customers of Split to help you make the
best purchasing decision for your use case.
Competitors to Split
| Vendor | Reasons to Consider | Best For |
|---|---|---|
| LaunchDarkly | Robust feature flag management with extensive language support | Large enterprises with complex feature flag needs |
| Optimizely | Strong A/B testing and experimentation capabilities | Marketing teams focused on website optimization |
| Amplitude | In-depth product analytics and experimentation | Product teams needing deep user behavior insights |
| Statsig | Feature flagging with a focus on statistical rigor | Data-driven teams emphasizing statistical significance in experiments |
| VWO | Comprehensive A/B testing and conversion optimization | E-commerce and marketing teams focused on conversion rate optimization |
Open Source Alternatives to Split
| Projects | Reasons to Consider | Best For |
|---|---|---|
| Flagsmith | Feature flag management with a user-friendly interface | Teams looking for a simpler, self-hosted feature flag solution |
| Unleash | Feature toggle service with a focus on performance and scalability | Organizations requiring high-performance feature flag evaluations |
| GrowthBook | Feature flagging and experimentation platform with a focus on statistical rigor | Data-driven teams emphasizing statistical significance in experiments |