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Matomo vs Apache Superset

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

Shared themes:open-source

Matomo vs Apache Superset: at a glance

FeatureMatomoApache Superset
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesprivacy-first analytics, ai-traffic, ui modernization, compliancebusiness-intelligence, kubernetes, packaging, apache-governance
Last editorial update1mo ago3d 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 Apache Superset?

Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes

What this feed surfaces for Superset is almost entirely Helm-chart version bumps and Apache release-vote threads, not application-level changelog. The substantive work — the 6.1.0 release candidates — appears only as PMC voting emails. Day-to-day, the visible cadence is chart packaging for Kubernetes operators.

Read the full Apache Superset trajectory →

Matomo vs Apache Superset: 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.

A5.0

Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes

◆ Current state

What this feed surfaces for Superset is almost entirely Helm-chart version bumps and Apache release-vote threads, not application-level changelog. The substantive work — the 6.1.0 release candidates — appears only as PMC voting emails. Day-to-day, the visible cadence is chart packaging for Kubernetes operators.

◆ Where it's heading

The chart releases are clustering tightly (four 0.17.x patches in two days), which signals active deployment-side iteration ahead of a 6.1.0 cut still moving through release-candidate votes. The product direction itself isn't legible from these entries — the feed is pointed at the chart repo, not the changelog.

◆ Prediction

Expect 6.1.0 to graduate from rc to a tagged release once the vote passes, followed by a corresponding chart bump. The chart-patch cadence likely continues in the meantime.

Alternatives to Matomo and Apache Superset

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 Apache Superset.

See all Matomo alternatives → · See all Apache Superset alternatives →

Recent activity from Matomo and Apache Superset

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

  1. 3d agoApache SupersetHelm chart 0.17.3 (packaging bump)
  2. 4d agoApache SupersetHelm chart 0.17.2 (packaging bump)
  3. 4d agoApache SupersetHelm chart 0.17.1 (packaging bump)
  4. 5d agoApache SupersetHelm chart 0.17.0 (packaging bump)
  5. 10d agoApache SupersetHelm chart 0.16.2 (packaging bump)
  6. 10d agoApache SupersetHelm chart 0.16.1 (packaging bump)
  7. 1mo agoMatomoMatomo 5.10.0
  8. 2mo agoMatomoMatomo 5.9.0
  9. 3mo agoMatomoMatomo 5.8.0
  10. 4mo agoMatomoMatomo 5.7.1
  11. 5mo agoMatomoMatomo 5.7.0
  12. 6mo agoMatomoMatomo 5.6.2

Frequently asked questions

What is the difference between Matomo and Apache Superset?

Both compete on the same themes — open-source — within Analytics. Apache Superset 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 Apache Superset?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Superset 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 Apache Superset?

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