Fulcrum
Fulcrum is consolidating on Esri, with Google Maps gone September 1
Comparison · Analytics
Deequ vs Looker
A side-by-side editorial comparison of Deequ and Looker — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs Looker: at a glance
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.
What is Looker?
Looker's release feed is mostly page furniture; the shipping behind it is thin.
Most of what reaches this feed is scraped structure from Google Cloud's release-notes index — section headings, edition filters, a navigation dump — rather than releases. The real changes in the window are narrow: mobile alerts now arrive as push notifications on the Looker app, and a Table Visualization Improvements preview landed disabled by default. One note flags behaviour changes due with Looker 26.8 in May 2026.
Deequ vs Looker: editorial side-by-side
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.
Looker
0.0ANALYTICS
Looker's release feed is mostly page furniture; the shipping behind it is thin.
◆ Current state
Most of what reaches this feed is scraped structure from Google Cloud's release-notes index — section headings, edition filters, a navigation dump — rather than releases. The real changes in the window are narrow: mobile alerts now arrive as push notifications on the Looker app, and a Table Visualization Improvements preview landed disabled by default. One note flags behaviour changes due with Looker 26.8 in May 2026.
◆ Where it's heading
Looker's development is being folded into the Google Cloud release cadence, where each Looker change is a line item in a much larger catalogue. What is visible is upkeep of the existing surface — mobile parity, visualization polish, preview flags — not new capability. On the evidence in this feed the product is in a low-signal, maintenance phase.
◆ Prediction
The 26.8 release is the next entry with actual content behind it; the pattern here suggests it arrives as a set of preview-flagged behaviour changes rather than a headline feature.
Alternatives to Deequ and Looker
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 Looker.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature
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
See all Deequ alternatives → · See all Looker alternatives →
Recent activity from Deequ and Looker
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 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
- 3mo agoLookerSection heading: AI and ML (no content)
- 4mo agoLookerMobile alerts now delivered as push notifications
- 4mo agoLookerTeaser: Looker 26.8 coming in May 2026
- 4mo agoLookerSection heading: Application development (no content)
- 4mo agoLookerTable Visualization Improvements preview (off by default)
- 4mo agoLookerSection heading: Application hosting (no content)
- 4mo agoDeequDeequ 2.0.15 tag carries only a pom version bump
Frequently asked questions
What is the difference between Deequ and Looker?
They serve adjacent needs but don't currently overlap on shipped themes. Deequ and Looker 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 Looker?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deequ and Looker 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 Looker?
Top Looker alternatives in Analytics are ranked by recent ship velocity. Browse the "Looker alternatives" section above for the current picks, or visit /alternatives/looker for the full list with editorial commentary on each.