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Dagster vs Matomo

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

Dagster vs Matomo: at a glance

FeatureDagsterMatomo
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themesorchestration, mcp, dbt-fusion, dagster-plusprivacy-first analytics, ai-traffic, ui modernization, compliance
Last editorial update5h ago6mo ago
WebsiteVisit →Visit →

What is Dagster?

Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.

Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.

Read the full Dagster 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 →

Dagster vs Matomo: editorial side-by-side

D
Dagster
ANALYTICS
5.0

Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.

◆ Current state

Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.

◆ Where it's heading

The Dagster+ MCP server has grown release by release, from launching runs without a code location in September to controlling schedules, sensors and partitions now. Combined with the dbt split, Dagster is trimming legacy dependencies while making the orchestrator something an agent can operate, not just a person in the UI.

◆ Prediction

The MCP server still lacks write access to things like backfills and alert policies, so expanding it there is the most visible next step; further Python and dbt version floors are likely to follow the 3.10 cut.

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 Dagster 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 Dagster or Matomo.

See all Dagster alternatives → · See all Matomo alternatives →

Recent activity from Dagster and Matomo

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

  1. 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
  2. 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
  3. 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
  4. 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
  5. 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
  6. 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
  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 Dagster and Matomo?

They serve adjacent needs but don't currently overlap on shipped themes. Dagster 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 Dagster better than Matomo?

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

Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster 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.