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

PostHog
Sumidata
Primary
Product engineers at growth startups (15-500 ppl)
Small-mid teams needing replay + AI analytics
Strength
Replace 5-8 tools with one platform
Quick setup, AI-first exploration, low overhead
Weakness
Overkill for replay-only; complex self-host
Missing core product analytics (funnels, retention, paths)

Feature Comparison

Complexity = build effort · Usefulness = value for a big project · Readiness = production-ready today

Feature
Service
Cmplx
Useful
Ready
Description
Product Analytics
PostHog
8
10
10
Funnels, retention, paths, lifecycle, cohorts, groups, stickiness
Sumidata
8
10
4
AI-powered ad-hoc analytics via natural language. No predefined dashboards/funnels yet
Session Replay (Web)
PostHog
6
9
10
Mature. Network capture, clip sharing, playlist building
Sumidata
6
9
8
Core product. rrweb-based, timeline sync, console/events overlay
Session Replay (Mobile)
PostHog
7
7
7
iOS, Android, RN, Flutter SDKs
Sumidata
7
7
0
Not available, not on roadmap
AI Data Explorer
PostHog
7
8
6
"Max" assistant — natural language queries, newer
Sumidata
7
8
8
Multi-stage LLM pipeline, SQL gen, validation, auto-retry, SSE streaming
Feature Flags
PostHog
6
9
10
Multivariate, rollouts, local eval, payloads, bootstrapping
Sumidata
6
9
0
Not available. Integrates with external tools for experiment tracking
A/B Testing (native)
PostHog
7
8
10
Bayesian + frequentist stats, significance calc, guardrail metrics
Sumidata
7
8
2
Tracks experiment assignments only. No stats engine, no significance
Surveys
PostHog
5
7
9
No-code builder, NPS/CSAT, AI-generated, mobile support
Sumidata
5
7
0
Not available
Heatmaps
PostHog
5
6
6
Click/scroll/rage/dead click. In-app viewer is beta
Sumidata
5
6
1
Broken. Scheduled for complete rebuild
Error Tracking
PostHog
6
8
6
Open beta. Issue mgmt, alerts, ties to replay + flags
Sumidata
6
8
3
Console/error capture only. No issue mgmt, no alerts
Web Analytics
PostHog
5
7
8
Bounce rate, vitals, cookieless. GA replacement
Sumidata
5
7
3
UTM capture + attribution only. No page analytics dashboard
CDP / Data Pipeline
PostHog
8
8
9
60+ sources/destinations, real-time transformations
Sumidata
8
8
2
BigQuery import only
Data Warehouse / SQL
PostHog
7
7
8
HogQL, external joins, materialized views, MCP
Sumidata
7
7
5
ClickHouse SQL explorer, project-scoped CTEs, Monaco editor
LLM Observability
PostHog
6
7
6
Traces, token costs, sentiment, latency monitoring
Sumidata
6
7
0
Not available
Multi-touch Attribution
PostHog
6
8
5
Basic UTM via web analytics
Sumidata
6
8
8
Full: device + user level, cross-device, campaign journey
Multi-tenancy
PostHog
5
7
8
Projects + orgs. RBAC on Enterprise tier only
Sumidata
5
7
8
Native: tenants → projects → users, OTP auth, first-class
SDK Ecosystem
PostHog
6
9
10
15+ SDKs: web, iOS, Android, RN, Flutter, Node, Python, Go, etc
Sumidata
6
9
2
JS script tag only

Operational Comparison

1–10 scale, 10 = hardest / most expensive

Dimension
PH Cloud
PH Self-Host
Sumidata
Install
1 (SaaS)
7 (CH+Kafka+PG+Redis)
4 (CH+PG)
Migrate to
3 (managed importers)
5
6 (manual)
Migrate from
3 (batch exports)
3
7 (no export tools)
Lock-in risk
2 (MIT, exports)
1
2
Maintenance
1 (managed)
8 (CH upgrades break)
4
Cost @100K sess/mo
~$500–800
~$200–450 infra
~$100–200 infra
Team needed
0
1–2 DevOps
0.5 DevOps

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.

Try Sumidata for yourself

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