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Comparison · Analytics
Deequ vs Whatagraph
A side-by-side editorial comparison of Deequ and Whatagraph — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs Whatagraph: at a glance
| Feature | Deequ | Whatagraph |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | data-quality, spark, dqdl, jvm-library | marketing-reporting, agencies, integrations, data-storage |
| Last editorial update | 15h ago | 12d ago |
| Website | 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.
What is Whatagraph?
Marketing reporting quietly rebuilding itself around stored data instead of live API calls.
Whatagraph builds client reports for marketing agencies by pulling from dozens of ad, analytics, and call-tracking sources. The recent releases split into two groups. One keeps widening the source catalog — Snowflake as a warehouse source, WhatConverts lead data, and Ahrefs Rank Tracker as a keyword-level integration separate from the existing domain-level Ahrefs. The other attacks reliability: a Data Storage destination that pre-syncs data so widgets stop waiting on live APIs, the Basis integration rebuilt on that model, and automatic failover when the team member whose account owns a source loses access.
Deequ vs Whatagraph: 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.
Whatagraph
5.0ANALYTICS
Marketing reporting quietly rebuilding itself around stored data instead of live API calls.
◆ Current state
Whatagraph builds client reports for marketing agencies by pulling from dozens of ad, analytics, and call-tracking sources. The recent releases split into two groups. One keeps widening the source catalog — Snowflake as a warehouse source, WhatConverts lead data, and Ahrefs Rank Tracker as a keyword-level integration separate from the existing domain-level Ahrefs. The other attacks reliability: a Data Storage destination that pre-syncs data so widgets stop waiting on live APIs, the Basis integration rebuilt on that model, and automatic failover when the team member whose account owns a source loses access.
◆ Where it's heading
The reporting layer is being made boring in the good sense. Live-API reports break in ways an agency cannot explain to a client — a token expires, someone leaves, a widget goes blank mid-presentation — and the last few months answer each of those failure modes directly: store the data, align spend figures with the vendor's own billing totals, and silently switch to a colleague's credentials when one account stops working. The presentation work is following the same instinct, replacing per-metric threshold rules with automatic shading and consolidating scattered style settings into themes. Less configuration to maintain, fewer ways for a report to be wrong in front of a client.
◆ Prediction
Credential failover currently rescues a source when someone else on the team happens to have access; the gap it exposes is agency-owned connections that do not depend on an individual at all, which is where this thread points next.
Alternatives to Deequ and Whatagraph
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 Whatagraph.
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 Whatagraph alternatives →
Recent activity from Deequ and Whatagraph
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 12d agoWhatagraphOne broken connection won't break your reports
- 13d agoWhatagraphClearer charts and tables, and a faster way to find the right template
- 18d agoWhatagraphTrack your keywords against competitors with Ahrefs Rank Tracker
- 1mo agoWhatagraphBasis rebuilt: faster data, cleaner numbers, per-client sources
- 1mo agoWhatagraphThemes settings, simplified
- 2mo agoWhatagraphWhatConverts data available on Whatagraph
- 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
Frequently asked questions
What is the difference between Deequ and Whatagraph?
They serve adjacent needs but don't currently overlap on shipped themes. Whatagraph 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 Whatagraph?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Whatagraph 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 Whatagraph?
Top Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph for the full list with editorial commentary on each.