← Back to home
Comparison · Analytics

Deequ vs Matomo

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

Deequ vs Matomo: at a glance

FeatureDeequMatomo
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdata-quality, spark, dqdl, jvm-libraryprivacy-first analytics, ai-traffic, ui modernization, compliance
Last editorial update13h ago3mo ago
WebsiteVisit →Visit →

What is Deequ?

Deequ ships GitHub tags whose release notes are one commit message long

Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.

Read the full Deequ trajectory →

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 →

Deequ vs Matomo: editorial side-by-side

D
Deequ
ANALYTICS
0.0

Deequ ships GitHub tags whose release notes are one commit message long

◆ Current state

Deequ is a data quality library for Spark, and it releases per Spark version — tags carry a -spark-3.5 or -spark-4.0 suffix, so the same code line ships more than once. The release notes are whatever the last commit message said, which here means each entry is a single line. Four releases landed in a month between March and April 2026, and only two of them contain any product change: a Range analyzer with DQDL rule support, and a processRowsTyped API for typed outcome access.

◆ Where it's heading

The visible work points in one direction — making check results programmatically consumable rather than just readable. A typed outcome API and a rule language binding are what you build when Deequ is being called from a pipeline that reacts to the result, not from a notebook where a human reads it. The column-pruning override added alongside the Range analyzer suggests the same attention on the cost side, keeping analyzers from scanning columns they do not reference.

◆ Prediction

The entries are too thin to support a confident read of what comes next; the only clear pattern is that each change will ship separately against Spark 3.5 and Spark 4.0, so the version skew between those branches will keep widening.

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.

Alternatives to Deequ and Matomo

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 Deequ or Matomo.

See all Deequ alternatives → · See all Matomo alternatives →

Recent activity from Deequ and Matomo

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

  1. 3mo agoMatomoMatomo 5.10.0
  2. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  3. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  4. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  5. 3mo agoMatomoMatomo 5.9.0
  6. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
  7. 5mo agoMatomoMatomo 5.8.0
  8. 6mo agoMatomoMatomo 5.7.1
  9. 6mo agoMatomoMatomo 5.7.0
  10. 8mo agoMatomoMatomo 5.6.2

Frequently asked questions

What is the difference between Deequ and Matomo?

They serve adjacent needs but don't currently overlap on shipped themes. Matomo is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 Deequ better than Matomo?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Matomo is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 Deequ?

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

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.