Both PostHog and Statsig bundle product analytics, feature flags, session replay, and A/B testing into one platform rather than requiring separate tools for…
Best for posthog: Teams that want a single platform combining event tracking and funnels, feature flags, session replay, and A/B testing without stitching together separate tools, based on PostHog's documented core feature set.
Best for Statsig: Teams that want a documented, generous free tier (2M events/month, unlimited seats) plus warehouse-native architecture, broad SDK support (18+ languages), and SOC 2 Type 2 certification before scaling into a paid or enterprise plan.
At a Glance
posthog
Statsig
Primary category
Analytics
Analytics
Rating
Not documented
Not documented
Pricing model
Freemium
freemium subscription (usage-based)
Starting price
Free (generous usage limits); paid plans are usage-based after free allowances
Free (Developer tier); Pro from $150/month
Free plan
Not documented
Yes
Free trial
Not documented
Not documented
Platforms
Not documented
Web
Team collaboration
Not documented
Not documented
AI features
Not documented
Not documented
Public API
Not documented
Yes
Key Differences
Pricing transparency
posthog: No pricing plans or starting price are documented for PostHog.
Statsig: Statsig publishes a free Developer tier and a $150/month Pro plan with clear overage rates ($0.05 per 1,000 events beyond 5M).
Buyers who need to budget before a sales call have a documented number for Statsig but no equivalent figure for PostHog in these facts.
Session replay linkage to experiments
posthog: Session replay is listed as a standalone feature for watching recordings of real user sessions.
Statsig: Session replay is explicitly linked to experiments and feature flags, so recordings can be tied to specific test variants or flag states.
For teams running A/B tests, Statsig's documented linkage between replay and experiments is a specific workflow capability not described for PostHog.
Warehouse-native architecture
posthog: Not documented in the available facts.
Statsig: Statsig is described as warehouse-native, integrating directly with existing data warehouses.
Teams that already centralize data in a warehouse have a documented integration path with Statsig.
SDK and platform coverage
posthog: Not documented in the available facts.
Statsig: Statsig provides SDKs for 18+ programming languages and frameworks.
Engineering teams working across many languages have a documented SDK count to check against their stack for Statsig; PostHog's SDK breadth isn't specified here.
Compliance and named customers
posthog: Not documented in the available facts.
Statsig: Statsig is SOC 2 Type 2 certified and cites customers including OpenAI, Brex, and Notion.
Enterprise buyers often need compliance attestations and reference customers as part of procurement; only Statsig documents these here.
Feature-by-Feature
Core Capabilities
Feature
posthog
Statsig
Product analytics (event tracking, funnels)
Available
Available
Feature flags
Available
Available
Session replay
Available
Available
A/B testing / experimentation
Available
Available
Platform & Trust
Feature
posthog
Statsig
Warehouse-native integration
Not documented
Available
SDK language/framework coverage
Not documented
Available
Compliance certification
Not documented
Available
Named enterprise customers disclosed
Not documented
Available
Pricing & Plans
Feature
posthog
Statsig
Published starting price
Not documented
Available
Free tier
Not documented
Available
Enterprise/custom plan
Not documented
Available
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Generous, genuinely usable free tier that covers most early-stage products
Consolidates analytics, session replay, feature flags, experimentation and surveys in one tool
Open source with a self-hosting option for teams wanting full data control
Usage-based pricing scales down per unit at higher volumes rather than forcing large tier jumps
Backed by significant venture funding, including a Stripe-led round, supporting continued development
Cons
Usage-based pricing across many products can make total monthly cost harder to predict than a flat subscription
Self-hosting requires infrastructure management that the managed cloud avoids
Breadth of bundled features means some individual capabilities are less deep than best-of-breed point solutions
Learning curve to fully use the platform's many products (analytics, replay, flags, experiments, surveys, warehouse) together
Free tier data retention (1 year) is shorter than paid tier retention (7 years), which may matter for long-term analysis
Statsig
Pros
Generous free Developer tier with unlimited flag checks and unlimited seats
Combines feature flags, experimentation, and analytics in one platform instead of separate tools
Backed by rapid growth and, since 2025, OpenAI's resources following its acquisition
Advanced experimentation and analytics on paid tiers support rigorous statistical testing
Session replay is included even on the free tier
Cons
Event-based pricing on Pro can grow with product usage, adding cost as event volume increases
Enterprise-grade capabilities like warehouse-native deployment and SSO require a custom contract
Recent OpenAI acquisition (2025) may bring product direction changes for existing customers
Advanced analytics retention and change review workflows are gated behind paid tiers
Use Cases
Choose posthog: Teams that want a single platform combining event tracking and funnels, feature flags, session replay, and A/B testing without stitching together separate tools, based on PostHog's documented core feature set.
Choose Statsig: Teams that want a documented, generous free tier (2M events/month, unlimited seats) plus warehouse-native architecture, broad SDK support (18+ languages), and SOC 2 Type 2 certification before scaling into a paid or enterprise plan.
Need both: Teams currently evaluating an all-in-one analytics/flags/replay bundle may pilot both PostHog and Statsig side by side, since the available facts don't show a documented reason to prefer one for a specific technical capability the other lacks — the differentiators here are pricing transparency and compliance documentation rather than feature gaps.
posthog
Product-led growth analytics — Startups use PostHog to track user behavior, funnels and retention to guide product decisions.
Feature rollout and experimentation — Engineering teams use feature flags and A/B testing to safely ship and measure new features.
Debugging and qualitative research — Teams combine session replay and surveys to understand why users behave a certain way, not just what they do.
Statsig
Safe feature rollouts — Engineering teams use Statsig's feature flags to gradually roll out new features and instantly roll them back if issues arise.
Product experimentation and A/B testing — Product teams run A/B tests and more advanced experiments through Statsig to measure the impact of changes before a full rollout.
Unified product analytics and experiment impact analysis — Teams use Statsig's integrated analytics to see how feature flags and experiments affect real product usage metrics in one place.
Frequently Asked Questions
Does PostHog include feature flags and session replay?
Yes — PostHog combines product analytics, feature flags, session replay, and A/B testing in one platform.
Does Statsig offer a free plan?
Yes, the Developer tier is free and includes 2M events/month, unlimited flag checks, and unlimited seats.
What does Statsig's Pro plan cost?
Pro is $150/month, including 5M events, with additional events billed at $0.05 per 1,000.
Does Statsig support session replay?
Yes, session replay is included and can be linked to experiments and feature flags.
How many SDKs does Statsig support?
Statsig provides SDKs for 18+ programming languages and frameworks.
Is pricing information available for PostHog in this comparison?
No — the source facts for PostHog do not include published pricing plans or a starting price, so this should be confirmed directly with PostHog.