Split.io is a legacy feature flagging tool that also offers experimentation features—so how does it stack up against its modern competitors?

At its core, Split is a feature management and experimentation platform that helps product development teams release features faster, with less risk. The platform combines:

• Feature flags to decouple deployment from release

• Testing and observability to detect the impact of every feature

• Automated rollout monitoring to eliminate guesswork

By using Split, teams can accelerate their rollouts while minimizing risk. The platform provides feature observability, which powers A/B testing and data-informed decision-making.

For pricing, Split offers a flexible model, with a free plan and paid plans starting at $35 per seat per month. The Startup plan includes access to all features, 50,000 monthly tracked keys, 1 million events, and up to 100 seats.

Bottom Line: Split is a tool that's well-suited for product development teams looking to release features faster and with less risk. However, it may be less cost-effective for larger enterprises with high-volume usage needs.

Statsig vs Split, head to head

Wondering how Split stacks up against Statsig in a head to head feature comparison? We've got the data. 📊

Let's compare!

Alternative #1: Statsig

Statsig is an advanced data platform designed for technical teams.

It offers a comprehensive suite of tools, including feature flagging, product analytics, and A/B testing, and excels at scaling with customers' experimentation journeys, from startups to enterprises, ensuring optimal product performance.

Experiments

Statsig's key features include:

• Feature Flags - all the capabilities of platforms like LaunchDarkly, with far more data tools around launch impact

• Product Analytics - user funnels, user journeys, metric drilldowns, and more to analyze the impact of rollouts

• A/B Testing - an advanced experimentation solution trusted by companies like OpenAI, Atlassian, Microsoft, Flipkart, and Whatnot

• Advanced Stats Engine (CUPED and Sequential Testing with Bayesian or Frequentist approaches)

• Out-of-the-box metric attributes

• Highly-rated in-house support team

• Holdouts, Experiment Layers, Dynamic Configs, and more

• Warehouse-native or cloud-based implementation

• Change propagation within seconds

Statsig is an attractive choice for several reasons. First, it's an all-in-one platform that combines multiple tools for feature management and analytics. Second, it scales with you, trusted by large companies but also offering a generous free tier and startup program. Finally, Statsig is experimentation-focused, providing all the tools to run successful experiments and ship faster.

Statsig's pricing model is designed to be accessible and transparent. We offer a free tier with unlimited feature flags and 2M events/month for analytics and experiments. Usage-based pricing and volume discounts make Statsig affordable for teams of all sizes.

As far as stability goes, Statsig processes over 250B events per day and is used by top tech companies worldwide.

🧊 How stable is it? Check out the numbers: Behind the scenes: Statsig's backend performance

Bottom Line: Statsig is a tool that's well-suited for technical teams looking for a scalable, experimentation-focused platform. However, it may not be the best fit for non-technical teams or those not building software products.

Convinced?

Whether you're completely sold or just want to ask some questions, Statsig's team is ready and waiting to talk to you.

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Alternative #2: VWO

VWO is a comprehensive digital experience optimization platform that enables businesses to analyze, optimize, and personalize their websites, mobile apps, and digital features. The company offers a suite of products designed to help organizations decode evolving customer behaviors, fine-tune experiences through robust A/B testing, and deliver personalized content that resonates with users. By leveraging data-driven UI enhancements and server-side optimizations, VWO empowers businesses to boost conversions and maximize the impact of their digital properties.

VWO's platform is built on an agile, event-driven architecture that seamlessly integrates with existing websites, apps, and code bases. This integration provides a holistic 360-degree view of the customer, allowing businesses to make instant decisions based on real-time customer data. The platform also offers a range of tools for qualitative customer analytics, such as heatmaps, session recordings, funnels, form analytics, and surveys, which help identify conversion roadblocks and generate informed hypotheses for testing.

VWO's key features include:

• Experimentation: A/B testing, multivariate testing, and split URL testing

• Insights: Heatmaps, session recordings, funnels, form analytics, and surveys

• Personalization: Targeted experiences based on user behavior and attributes

• Behavioral analytics: Understand how users interact with your digital properties

VWO prioritizes privacy, security, and compliance, taking a privacy-first approach to building its products and maintaining compliance with evolving regulations. With over a decade of experience in optimization, VWO has optimized more than 110 billion experiences, run over 2 million experiments, and served more than 40,000 customers across 170+ countries.

VWO offers a usage-based pricing model where customers pay based on the number of unique visitors tracked per month, known as Monthly Tracked Users (MTUs). Pricing varies depending on the specific VWO product and the volume of MTUs required, with plans available in tiers and higher MTU volumes corresponding to higher monthly costs.

Bottom Line: VWO is a powerful digital experience optimization platform well-suited for businesses looking to boost conversions and personalize user experiences. However, its usage-based pricing model may be less predictable for high-traffic websites compared to flat-rate alternatives.

Alternative #3: AB Tasty

AB Tasty is a digital experience optimization platform that helps businesses improve their online presence. The platform offers a suite of tools for web experimentation, personalization, AI-powered recommendations, and search. AB Tasty aims to help companies maximize ROI, drive engagement, and boost customer loyalty.

Key features of AB Tasty include:

• Web experimentation: A/B testing, multivariate testing, and split testing capabilities

• Personalization: Tailored experiences based on user behavior and attributes

• AI-powered recommendations: Automated product and content suggestions

• Search: Optimized site search functionality

AB Tasty differentiates itself through its AI-powered optimization capabilities and its focus on collaboration and customer success. The platform offers custom pricing based on each client's specific usage requirements, ensuring that businesses only pay for what they need.

While AB Tasty provides a comprehensive set of tools for digital experience optimization, it may not be as technically sophisticated as some of its competitors like Statsig. AB Tasty also lacks the proven track record with large enterprise customers that Statsig has, such as OpenAI, Notion, Atlassian, Flipkart, and Brex. Additionally, Statsig offers more extensive volume discounts for enterprise customers and a generous free tier, which may make it a more cost-effective option for some businesses.

Bottom Line: AB Tasty is a tool that's well-suited for businesses looking to optimize their digital experiences and drive customer engagement. However, it may lack the technical sophistication and enterprise-level features of some competitors like Statsig.

Alternative #4: LaunchDarkly

LaunchDarkly is a feature management and experimentation platform that enables software teams to deliver better software, faster. It provides a comprehensive set of tools for controlled feature rollouts and experimentation, allowing teams to safely release new features and functionality to their users.

LaunchDarkly's key features include:

• Release management: Safely launch new features with fine-grained control over who sees what and when

• Targeting: Deliver personalized experiences to specific user segments based on attributes and behavior

• Remediation: Quickly roll back or disable problematic features without redeploying code

• Experimentation: Run A/B tests and feature experiments to optimize feature performance and user engagement

By using LaunchDarkly, teams can confidently release features, personalize user experiences, and continuously optimize their applications. LaunchDarkly's platform is designed to support the entire software development lifecycle, from local development to production deployment.

LaunchDarkly offers a flexible pricing model with a free Developer tier for small teams and paid Foundation and Enterprise tiers for larger organizations. The paid plans include additional features such as SSO, audit logging, and advanced security controls.

Compared to other feature management platforms, LaunchDarkly differentiates itself through its focus on developer experience and enterprise-scale governance features. Its SDKs and integrations support a wide range of programming languages and frameworks, making it easy for developers to adopt and use.

Bottom Line: LaunchDarkly is a powerful tool for teams looking to safely release features and optimize their applications. However, its enterprise focus may be overkill for smaller teams or simpler use cases.

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