LaunchDarkly vs. Statsig
LaunchDarkly helps software teams build successful products and AI apps — by shipping faster, learning faster, and gaining runtime control over features in production. Statsig lacks basic feature management controls to move quickly and safely leading to risky rollouts, redeploys, and guesswork, which make experiments harder to control.
Key differences
Built-in safeguards for controlled, auto-rollbacks
No circuit breakers or rollback triggers — manual changes required
Powers over 42+ trillion flags daily
Approximately 3% of LaunchDarkly volume
Run flags natively in your stack with 30+ supported SDKs
Rust-based proxy adds latency and limits extensibility — requires additional infra maintenance
Low-latency streaming updates — no polling delays
Delayed updates via polling
Run AI experiments, tune prompts, and ship updates safely, without redeploys
Limited targeting or governance for GenAI
Built-in safeguards for controlled, auto-rollbacks
Powers over 42+ trillion flags daily
Run flags natively in your stack with 30+ supported SDKs
Low-latency streaming updates — no polling delays
Run AI experiments, tune prompts, and ship updates safely, without redeploys
No circuit breakers or rollback triggers — manual changes required
Approximately 3% of LaunchDarkly volume
Rust-based proxy adds latency and limits extensibility — requires additional infra maintenance
Delayed updates via polling
Limited targeting or governance for GenAI
Designed for engineers. Loved by product teams.
LaunchDarkly unifies release automation, feature flags, experimentation and analytics, and AI engineering into a single platform — empowering you to ship faster, learn faster, and maintain control.

100% G2 Developer Satisfaction Rating
VS Statsig
Only 75% Developer Satisfaction

Free Experiment Starter Pack with every edition
VS Statsig
Pricing scales with usage events —not usage value. Growth = bill shock

Trusted by 25% of the Fortune 500
VS Statsig
Adopted by startups and smaller teams — not proven at enterprise scale

Multi-dimensional targeting built for real-world use
VS Statsig
One-dimensional rules, less control at scale

Guarded releases with instant automated rollbacks for safer deploys
VS Statsig
No instant rollback. Delayed observability = higher toil, slower response and more risk

Detect and mitigate prompt or model failures instantly
VS Statsig
Lacks controls to manage or govern models/prompts
Ship, test, and measure — all in one flow
LaunchDarkly lets developers, PMs, and data teams run experiments in real time with no delays or manual coordination.
Built for high resilience, uptime, and scale
Limited feature delivery governance and control
Run experiments on AI configurations
No purpose-built AI experimentation
Powerful intuitive experimentation for every product member
Designed for power users only
Full experiment UI Preview
Limited Previews
Built for high resilience, uptime, and scale
Run experiments on AI configurations
Powerful intuitive experimentation for every product member
Full experiment UI Preview
Limited feature delivery governance and control
No purpose-built AI experimentation
Designed for power users only
Limited Previews

Target users by any context—device, environment, account, or custom attributes
Whether you're targeting users by location, account, platform, or context, LaunchDarkly gives you the power to personalize every experience.
Multi-variate flags
VS Statsig
Boolean flags only
Multi-dimensional audience targeting
VS Statsig
Single-dimension targeting
Mobile Lifecycle Assistant
VS Statsig
No mobile lifecycle support
Custom contexts and persistent segments
VS Statsig
User-only targeting
Unlimited variations and segment sizes
VS Statsig
Binary flags and scale limits
90+ integrations across your entire toolchain
VS Statsig
Limited to ~20
Why choose LaunchDarkly over Statsig?
Flags at enterprise scale
42T+ daily flag evaluations. Sub-200ms latency. Zero cold starts
AI Configuration Experimentation
Built-in AI config validation, prompt experimentation, and model-aware targeting
Multi-dimensional targeting
Granular, flexible, and context-aware targeting for precise, dynamic feature delivery
Guarded Releases & observability
Auto-remediation, OpenTelemetry, end-to-end debugging
Free Experimentation Starter Packs
Standard with all tiers, no upgrade or add-on needed
100% Developer Satisfaction on G2—built for those shipping code daily
LaunchDarkly scored 100 vs Statsig’s 75
Mobile support
Purpose-built mobile targeting + lifecycle tools
Trusted by 5,500+ customers, from startups to enterprise