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Deequ vs Apache Superset

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

Deequ vs Apache Superset: at a glance

FeatureDeequApache Superset
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesdata-quality, spark, dqdl, jvm-libraryhelm, packaging, deployment, release-cadence
Last editorial update2h ago1d 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 Apache Superset?

Superset's tracked feed is a Helm chart tag stream with no notes attached.

The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.

Read the full Apache Superset trajectory →

Deequ vs Apache Superset: 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.

A5.0

Superset's tracked feed is a Helm chart tag stream with no notes attached.

◆ Current state

The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.

◆ Where it's heading

Chart releases are arriving roughly weekly, which points to steady packaging maintenance underneath — image bumps, template corrections, values-file changes — rather than a visible product push. Because the feed publishes no notes, the deployment layer is the only Superset surface observable here. Anyone tracking application-level work needs the core repository, not this stream.

◆ Prediction

The cadence supports exactly one confident call: more chart point releases within weeks. The entries carry no content indicating what those bumps will contain.

Alternatives to Deequ 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 Deequ or Apache Superset.

See all Deequ alternatives → · See all Apache Superset alternatives →

Recent activity from Deequ and Apache Superset

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

  1. 1d agoApache Supersetsuperset-helm-chart-0.22.5
  2. 14d agoApache Supersetsuperset-helm-chart-0.22.4
  3. 18d agoApache Supersetsuperset-helm-chart-0.22.3
  4. 19d agoApache Supersetsuperset-helm-chart-0.22.2
  5. 20d agoApache Supersetsuperset-helm-chart-0.22.1
  6. 23d agoApache Supersetsuperset-helm-chart-0.22.0
  7. 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
  8. 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
  9. 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
  10. 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump

Frequently asked questions

What is the difference between Deequ and Apache Superset?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Superset is currently shipping more aggressively (velocity 5.0 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 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 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 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.