REVIEWS / COMPARE

Open Analytics vs PostHog

It's close — Open Analytics (8.7) and PostHog (8.5) score nearly the same across real user voices. Pick on the specifics below.

Open Analytics PostHog
RATING 8.7 / 10 8.5 / 10
CONFIDENCE medium high
USER VOICES 427 100
POSITIVE 58% 50%
PRICE
RECOMMENDED ✓ Yes ✓ Yes

Open Analytics

★ STRENGTHS

  • Privacy-first: no cookies by default, no IP storage, GDPR-friendly (Koko Analytics)
  • Zero-friction WordPress install - stats work immediately on activation with no extra load
  • Open-source and self-hostable; script can be first-party hosted to dodge uBlock blocking

✗ WATCH OUT

  • Cannot match GA's cross-web audience data, campaign attribution, or purchase tracking
  • Setup friction: Matomo Docker/DB provisioning failed a professional dev after ~1 hour
  • Third-party tracking domains trivially blocked by adblockers unless self-hosted
Not recommended Full review →

PostHog

★ STRENGTHS

  • Open source with self-hosting — USER and VIDEO layers independently cite control, cost, privacy (GDPR) as adoption drivers
  • Founders actively engage in HN threads, openly admitting limitations (grouping UI gaps)
  • Free entry point pitched credibly by creators ($0 vs Google Analytics)

✗ WATCH OUT

  • Scaling risk: ex-Heap engineer calls query performance the main growth limiter, worsened by lack of multi-tenancy
  • Open-core licensing draws 'lazy business model' criticism and build-vs-buy monetization friction
  • Launch-stage maturity gaps: team-level analytics UI incomplete, deep BI deferred to Metabase/Tableau
Not recommended Full review →

HOW THIS COMPARISON WAS BUILT

Both verdicts are synthesised from real user voices on Reddit, YouTube, Hacker News, ProductHunt, Trustpilot and editorial sources — 427 for Open Analytics, 100 for PostHog. No paid placement; ratings come from raw sentiment, not our opinion. Read the methodology.