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Comparison · Analytics

Matomo vs OpenHouse

A side-by-side editorial comparison of Matomo and OpenHouse — release velocity, themes, recent moves, and the top alternatives to consider.

Matomo vs OpenHouse: at a glance

FeatureMatomoOpenHouse
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesprivacy-first analytics, ai-traffic, ui modernization, compliancedata lakehouse, iceberg, data retention, governance
Last editorial update6mo ago13h ago
WebsiteVisit →Visit →

What is Matomo?

Matomo bets on AI-traffic measurement as its differentiator while modernizing the UI for upmarket buyers.

Matomo is on a near-monthly minor-release cadence threading three concurrent themes: AI-traffic instrumentation, visual modernization (dark mode and theme refresh in 5.10.0), and privacy-compliance shortcuts aimed at EU operators. Patch releases land between minors with security and archiving fixes, and the team still ships occasional Matomo 4 backports for legacy customers.

Read the full Matomo trajectory →

What is OpenHouse?

OpenHouse adds time-zone-aware retention and per-database table caps.

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

Read the full OpenHouse trajectory →

Matomo vs OpenHouse: editorial side-by-side

Matomo logo
Matomo
ANALYTICS
2.5

Matomo bets on AI-traffic measurement as its differentiator while modernizing the UI for upmarket buyers.

◆ Current state

Matomo is on a near-monthly minor-release cadence threading three concurrent themes: AI-traffic instrumentation, visual modernization (dark mode and theme refresh in 5.10.0), and privacy-compliance shortcuts aimed at EU operators. Patch releases land between minors with security and archiving fixes, and the team still ships occasional Matomo 4 backports for legacy customers.

◆ Where it's heading

After introducing AI-agent detection in 5.6.0 and dedicated AI chatbot traffic reports in 5.8.0, Matomo is positioning itself as the analytics tool that explicitly accounts for non-human traffic — a stance neither GA4 nor Plausible has taken head-on. The 5.9.0 one-click CNIL preset and 5.10.0 UI overhaul read as moves to broaden the buyer pool beyond technical self-hosters.

◆ Prediction

Expect deeper AI-traffic features — segmentation, attribution, and per-agent breakdowns — plus the one-click compliance pattern extended from CNIL to other regulators.

O
OpenHouse
ANALYTICS
5.0

OpenHouse adds time-zone-aware retention and per-database table caps.

◆ Current state

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

◆ Where it's heading

OpenHouse is adding the controls a shared lakehouse needs at scale: quotas, audit trails and retention that matches business calendars. Views are getting the same governance tables already had.

◆ Prediction

Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.

Alternatives to Matomo and OpenHouse

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Matomo or OpenHouse.

See all Matomo alternatives → · See all OpenHouse alternatives →

Recent activity from Matomo and OpenHouse

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 14h agoOpenHouseRetention policies on string date columns accept a time zone
  2. 16h agoOpenHouseOpenHouse adds an optional per-database table count limit
  3. 18h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
  4. 1d agoOpenHouseFix view REPLACE property validation
  5. 1d agoOpenHouseOpenHouse audits view requests and operations in full
  6. 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
  7. 6mo agoMatomoMatomo 5.10.0
  8. 6mo agoMatomoMatomo 5.9.0
  9. 8mo agoMatomoMatomo 5.8.0 ⚡
  10. 9mo agoMatomoMatomo 5.7.1
  11. 9mo agoMatomoMatomo 5.7.0
  12. 11mo agoMatomoMatomo 5.6.2

Frequently asked questions

What is the difference between Matomo and OpenHouse?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Matomo better than OpenHouse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Matomo?

Top Matomo alternatives in Analytics are ranked by recent ship velocity. Browse the "Matomo alternatives" section above for the current picks, or visit /alternatives/matomo for the full list with editorial commentary on each.

What are the best alternatives to OpenHouse?

Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse for the full list with editorial commentary on each.