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Apache Cloudberry vs Deequ
A side-by-side editorial comparison of Apache Cloudberry and Deequ — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Cloudberry vs Deequ: at a glance
What is Apache Cloudberry?
An MPP warehouse fork grinding through ASF incubation, one release candidate at a time
Apache Cloudberry is a Greenplum-derived MPP data warehouse working through Apache incubation. Its release feed is procedural rather than editorial: each version ships as a tag with download links, checksum instructions and a contributor roll, while the actual changelog lives off-site on cloudberry.apache.org. The 2.1.0-incubating release in May 2026 is the most recent general release, preceded by two release candidates.
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.
Apache Cloudberry vs Deequ: editorial side-by-side
Apache Cloudberry
0.0ANALYTICS
An MPP warehouse fork grinding through ASF incubation, one release candidate at a time
◆ Current state
Apache Cloudberry is a Greenplum-derived MPP data warehouse working through Apache incubation. Its release feed is procedural rather than editorial: each version ships as a tag with download links, checksum instructions and a contributor roll, while the actual changelog lives off-site on cloudberry.apache.org. The 2.1.0-incubating release in May 2026 is the most recent general release, preceded by two release candidates.
◆ Where it's heading
The cadence has shifted from the 2024 weekly-build era to a slower, more formal release train: two or three release candidates, then a general release roughly every eight months. That is the shape of a project optimizing for ASF graduation criteria — reproducible builds, signed artifacts, documented voting — rather than for feature velocity. The contributor list is broad and stable across releases, which suggests a real multi-vendor community rather than a single-sponsor project.
◆ Prediction
Expect a 2.2.0 release-candidate series to open on a similar multi-month cycle. Whether the project exits incubation in that window is not something these release notes indicate either way.
Deequ
0.0ANALYTICS
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.
Alternatives to Apache Cloudberry and Deequ
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 Apache Cloudberry or Deequ.
OpenDataDiscovery
Four ODD Platform releases in two weeks, and not one of them changes the product
Apache Baremaps
Baremaps got geoparquet and hillshading, then went quiet for eighteen months in incubation
Marquez
Marquez spent 2024 turning a lineage store into a UI, then stopped releasing
Amundsen
Amundsen's last release was a config flag, and the feed has been silent for two years
OpenHouse
LinkedIn's Iceberg control plane, shipping one pull request per release.
See all Apache Cloudberry alternatives → · See all Deequ alternatives →
Recent activity from Apache Cloudberry and Deequ
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoApache CloudberryCloudberry 2.1.0 (incubating) reaches general release
- 3mo agoDeequDeequ adds a processRowsTyped API for typed outcome access
- 3mo agoDeequDeequ 3.0.1 fixes the publish workflow branch
- 3mo agoDeequDeequ 3.0.0 adds a Range analyzer with DQDL rule support
- 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
- 4mo agoApache Cloudberry2.1.0-incubating-rc2
- 5mo agoApache Cloudberry2.1.0-incubating-rc1
- 11mo agoApache CloudberryCloudberry 2.0.0 (incubating) general release
- 1y agoApache Cloudberry2.0.0-incubating-rc3
- 1y agoApache Cloudberry2.0.0-incubating-rc2
Frequently asked questions
What is the difference between Apache Cloudberry and Deequ?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Cloudberry and Deequ 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 Apache Cloudberry better than Deequ?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Cloudberry and Deequ 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 Apache Cloudberry?
Top Apache Cloudberry alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Cloudberry alternatives" section above for the current picks, or visit /alternatives/apache-cloudberry for the full list with editorial commentary on each.
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.