Sumidata vs PostHog
An honest, feature-by-feature comparison for teams choosing an analytics platform for a serious project. Ratings are 0–10.
April 2026
Target Audience
Feature Comparison
Complexity = build effort · Usefulness = value for a big project · Readiness = production-ready today
Operational Comparison
1–10 scale, 10 = hardest / most expensive
Key Differentiators
- Sumidata wins: AI explorer depth, multi-touch attribution, native multi-tenancy, simpler self-host, lower cost
- PostHog wins: product analytics suite, feature flags, A/B testing, surveys, SDK breadth, ecosystem maturity ($182M funded, 167 employees, MIT, 50% of YC uses it)
- Compliance: PH has SOC 2 Type II + HIPAA BAA + EU residency certified. SD references GDPR/SOC 2 but unclear certification status
- Build gap: SD's missing features (flags, experiments, surveys, error tracking, mobile SDKs) = 12–18+ months to build
Bottom Line
PostHog — broad all-in-one for product-led teams. Cloud is the sane path; self-host is painful. Best if you need product analytics + experiments + flags + surveys and want one tool.
Sumidata — focused replay + AI analytics + attribution with simpler ops. The AI explorer lets you run any ad-hoc analysis via natural language even without predefined boards. Best if you want simpler self-hosted, multi-tenant architecture, or deeper AI-driven exploration.
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