LaunchDarkly vs Statsig for feature flags: where each one wins, where each falls short, and which to pick for your situation. Cut from our full comparison, LaunchDarkly vs Statsig Cost: Feature Flag Platforms Compared | SideGuy, with nothing added.
LaunchDarkly Series D+ · Enterprise default
The enterprise-procurement-defensible standard for feature flags. Largest SDK matrix (30+ languages/frameworks), deepest enterprise governance (approvals, audit logs, role-based access), and the brand procurement teams already know. Pricing reflects enterprise positioning · easily $50K-$250K+/yr for mid-market and up.
✓ Strongest at SDK breadth, enterprise governance (approvals, audit, RBAC, SCIM), large-team workflows, procurement-defensible brand, mature experimentation add-on.
✗ Wrong for Indie devs (massive overkill + cost). Startups under 50 people watching burn. Teams that just need 'on/off' flags without an experimentation platform.
Pick LaunchDarkly if: your buyer is a 1,000+ person eng org and procurement already approved them.
Statsig Series C · Experimentation-first
The product-led-growth experimentation platform that also does flags. Built by ex-Facebook experimentation team. Flags are the entry point; the moat is the integrated experimentation + product analytics + feature gates loop. Generous free tier (1M events/mo) made it the default for product-led startups in 2024-2026.
✓ Strongest at A/B testing + experimentation depth, product analytics integration, free tier that scales, modern DX, sequential testing + CUPED + holdouts.
✗ Wrong for Pure flag use cases (overkill if you don't run experiments). Heavily regulated industries needing on-prem (use Unleash). Enterprise procurement-first orgs (LaunchDarkly wins).
Pick Statsig if: you're product-led, run real A/B tests, and want flags + experimentation in one tool.
Every other option in the category: LaunchDarkly vs Statsig Cost: Feature Flag Platforms Compared | SideGuy. Stuck choosing? PJ is an operator in Solana Beach who helps teams pick and set these up, by the hour, no retainer. More one-on-ones: every head-to-head.
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Questions people ask
What is the difference between LaunchDarkly and Statsig?
LaunchDarkly is feature-flags-first with experimentation as an enterprise add-on. Statsig is experimentation-first (built by the ex-Facebook experimentation team) with flags as the entry point. If your team runs real A/B tests weekly with statistical rigor (CUPED, sequential testing, holdouts), Statsig is the better fit. If your buyer is enterprise procurement and you need SCIM + approval workflows + 30+ SDKs, LaunchDarkly is still the default.
Which feature flag platforms can I self-host?
Unleash (Apache 2.0, full self-host, both OSS and Enterprise tiers run on your infra) and Flagsmith (Apache 2.0 OSS edition, plus a managed cloud option). PostHog also offers self-host on its OSS edition. LaunchDarkly, Statsig, and ConfigCat are managed-cloud only. If self-host is non-negotiable for GDPR / Schrems II / fintech / health-data reasons, Unleash is the most enterprise-mature OSS option.
Is PostHog actually a serious feature flag platform or just an analytics tool with flags bolted on?
Both. PostHog ships flags as one of ~10 products (analytics, flags, session replay, experiments, surveys, data warehouse). The flag implementation is solid · local evaluation, multi-variate, percentage rollouts, cohort targeting · and good enough for most teams under a few hundred engineers. The play is bundling: instead of paying Mixpanel + LaunchDarkly + FullStory separately, you pay one PostHog bill. If flags are a small slice of your stack and you want consolidation, PostHog wins on TCO.
What is the cheapest serious feature flag platform?
ConfigCat is the cheapest serious option for paid usage · flat $99-$999/mo with no per-seat or per-MAU surprise. PostHog and Statsig have the most generous free tiers (1M+ events/mo) if you can stay inside them. Flagsmith and Unleash are free if you self-host the OSS edition but cost engineering time to operate. LaunchDarkly is the most expensive across every band.