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Comparison · Analytics

Deequ vs Marquez

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

Deequ vs Marquez: at a glance

FeatureDeequMarquez
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-quality, spark, dqdl, jvm-libraryopenlineage, data-lineage, observability, metadata
Last editorial update3h ago3h 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 Marquez?

Marquez spent 2024 turning a lineage store into a UI, then stopped releasing

Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.

Read the full Marquez trajectory →

Deequ vs Marquez: 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.

M
Marquez
ANALYTICS
0.0

Marquez spent 2024 turning a lineage store into a UI, then stopped releasing

◆ Current state

Marquez is the reference metadata server for OpenLineage, and this window captures a concentrated push on its web interface: a column-lineage page and redesigned lineage graph in 0.45.0, data quality and job status displays in 0.47.0, and a data observability dashboard in 0.50.0 showing event stats over 24-hour and 7-day windows with per-source, per-dataset and per-job views. The API side moved in step — job tagging, dataset schema versions, paging on jobs and dataset versions, job-to-job lineage, richer metrics labels. One contributor accounts for nearly all the web work in these entries. Note that the 0.45 through 0.49 releases were all stamped within three minutes of each other and in reverse version order, so publication timestamps here do not reflect release order.

◆ Where it's heading

The arc is a backend project growing a front end: lineage data that existed in the API was progressively given pages, panels and paging, and by 0.50.0 the framing had shifted from lineage graph to observability dashboard. Tagging deepened in the same period, moving from dataset tags to field-level tags to job tags. That arc stops abruptly — 0.50.0 in October 2024 is the last entry, with nothing published in the roughly two years since.

◆ Prediction

The entries give no roadmap signal past 0.50.0, and the job-to-job lineage change was explicitly framed as a prompt for a wider parent/child hierarchy discussion that no later release picks up, so that hierarchy work is best read as unfinished rather than planned.

Alternatives to Deequ and Marquez

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 Marquez.

See all Deequ alternatives → · See all Marquez alternatives →

Recent activity from Deequ and Marquez

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

  1. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  2. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  3. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  4. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
  5. 1y agoMarquezMarquez 0.50.0 adds a data observability dashboard
  6. 2y agoMarquezMarquez 0.45.0 ships a column lineage page and redesigned graph
  7. 2y agoMarquezMarquez 0.46.0 cleans up the UI and fixes streaming terminal events
  8. 2y agoMarquezMarquez 0.47.0 adds data quality and job status views, job tagging
  9. 2y agoMarquezMarquez 0.49.0 adds job-to-job lineage to the API
  10. 2y agoMarquezMarquez 0.48.0 adds paging and dataset schema versions

Frequently asked questions

What is the difference between Deequ and Marquez?

They serve adjacent needs but don't currently overlap on shipped themes. Deequ and Marquez are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Deequ better than Marquez?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deequ and Marquez are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 Marquez?

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