LaunchDarkly vs. Statsig
Statsig just became a side project.
While the OpenAI acquisition is big news for Statsig, it raises real questions for teams relying on them for feature management & experimentation. Statsig’s product direction and engineering focus may now be secondary to OpenAI’s internal use cases.
Here's what it means for you:
Absorbed into OpenAI
Statsig's priorities may now be tied to supporting OpenAI's internal needs, not customer-driven innovation.
Roadmap uncertainty
Beyond vague promises of "operating independently", there are no guarantees on long-term investment in experimentation.
Vendor lock-in
Choosing an AI-model agnostic vendor is important to avoid vendor and data lock-in concerns.
Seamless migration
Our automated flag import tool makes switching faster and easier than ever.
Dedicated support
A LaunchDarkly specialist will partner with you through your migration and rollout.
No additional cost
You'll get access to LaunchDarkly Experimentation for free until your Statsig renewal date (up to 1 year).
Trusted by the world's most innovative teams
Join thousands of teams, including 25% of the Fortune 500, who use LaunchDarkly to de-risk delivery, run experiments at scale, and delight users faster.
Join innovative companies like these
"LaunchDarkly helped to democratize the experimentation practice and bring together data, product, and engineering teams working together around the same project."
David Tieba
Head of Product Analytics
"LaunchDarkly has given us much more flexibility than our previous tools for feature flagging and A/B testing. We’re able to experiment more effectively and make better data-driven decisions.”
Rema Morgan-Aluko
SVP Technology
"The ability to target experiments and analyze results efficiently has been a game-changer for us. It’s enabled us to run more tests and gain actionable insights much faster. ”
Riley Duncan
Sr. Data Analytst
"By connecting to Snowflake, we can move more quickly when new models are released, which means we can say yes to more ideas. We can take real risks on these things.”
Jon Noronha
Co-founder and Chief Product Officer
"LaunchDarkly helps us safely roll out and experiment with AI and product features without requiring engineering deploys for every variation.”
Vincent L.
Data Scientist, Information Technology and Services Company
"We can test new features with specific users, run A/B tests, and turn off features instantly if something breaks. This means fewer production issues, faster feedback, and more control over our releases.”
Jwalit Shah
Software Engineer
What sets LaunchDarkly apart from Statsig?
Advanced targeting across cohorts, geographies, and environments
Limited flexibility for complex personalization at scale
Powers over 42+ trillion flags daily
Approximately 3% of LaunchDarkly volume
30+ fully supported SDKs, 80+ integrations
Doesn't match the depth or enterprise integration ecosystem LD provides
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
Advanced targeting across cohorts, geographies, and environments
Powers over 42+ trillion flags daily
30+ fully supported SDKs, 80+ integrations
Low-latency streaming updates — no polling delays
Run AI experiments, tune prompts, and ship updates safely, without redeploys
Limited flexibility for complex personalization at scale
Approximately 3% of LaunchDarkly volume
Doesn't match the depth or enterprise integration ecosystem LD provides
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
Build with confidence, experiment with ease.
