OpenCTI
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
Comparison · Analytics
Deequ vs Fairing
A side-by-side editorial comparison of Deequ and Fairing — release velocity, themes, recent moves, and the top alternatives to consider.
Deequ vs Fairing: at a glance
| Feature | Deequ | Fairing |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | data-quality, spark, dqdl, jvm-library | post-purchase-surveys, attribution, ecommerce-analytics, integrations |
| Last editorial update | 18h ago | 1mo 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 Fairing?
Fairing extends beyond on-site surveys into delivery, analytics, and integrations.
Fairing's recent releases spread across three areas: new survey delivery (a hosted, branded landing page and email sends), analytics depth (period-over-period comparisons), and integration hygiene (Klaviyo OAuth, API filtering, upcoming rate limits). The core post-purchase survey product is being extended outward toward reporting and distribution.
Deequ vs Fairing: 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.
Fairing
5.0ANALYTICS
Fairing extends beyond on-site surveys into delivery, analytics, and integrations.
◆ Current state
Fairing's recent releases spread across three areas: new survey delivery (a hosted, branded landing page and email sends), analytics depth (period-over-period comparisons), and integration hygiene (Klaviyo OAuth, API filtering, upcoming rate limits). The core post-purchase survey product is being extended outward toward reporting and distribution.
◆ Where it's heading
The direction is from a single on-site survey widget toward a fuller attribution-and-feedback platform: more ways to deliver surveys, richer in-app analytics, and tighter ties to the ecommerce and marketing stack. API governance (rate limits, OAuth) signals a maturing platform with real third-party consumers.
◆ Prediction
Expect more delivery surfaces and analytics comparisons, plus deeper destination integrations that push Fairing response data into tools teams already use.
Alternatives to Deequ and Fairing
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 Fairing.
Fulcrum
Fulcrum is consolidating on Esri, with Google Maps gone September 1
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
See all Deequ alternatives → · See all Fairing alternatives →
Recent activity from Deequ and Fairing
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoFairingEdit your Workspace Name
- 1mo agoFairingFairing Hosted Landing Page
- 1mo agoFairingUpgrade to Klaviyo OAuth
- 1mo agoFairingUpcoming: Fairing API Rate Limits
- 2mo agoFairingResponses API: Filter and sort by updated_at
- 2mo agoFairingAnalytics Comparison Periods
- 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 Fairing?
They serve adjacent needs but don't currently overlap on shipped themes. Fairing 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 Fairing?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Fairing 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 Fairing?
Top Fairing alternatives in Analytics are ranked by recent ship velocity. Browse the "Fairing alternatives" section above for the current picks, or visit /alternatives/fairing for the full list with editorial commentary on each.