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Qlik vs Apache Superset

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

Qlik vs Apache Superset: at a glance

FeatureQlikApache Superset
SectorAnalyticsAnalytics
Velocity score3.85.0
Sparks · 30d00
Top themesanalytics-bi, feed-quality, enterprise-ai, data-lakehousebusiness-intelligence, kubernetes, packaging, apache-governance
Last editorial update1mo ago3d ago
WebsiteVisit →Visit →

What is Qlik?

Qlik feed is all marketing — events, webinars, and a subscribe CTA, no product changelog content.

The captured feed contains zero product release notes. All four entries are marketing content from qlik.com pages: the AI Reality Tour event series (May–Oct 2026), AWS Summits 2026 attendance, an open lakehouse ROI webinar, and a generic newsletter subscribe CTA. The actual product-updates blog at qlik.com/blog/category/product-updates/ is referenced but its entries did not land in the feed.

Read the full Qlik trajectory →

What is Apache Superset?

Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes

What this feed surfaces for Superset is almost entirely Helm-chart version bumps and Apache release-vote threads, not application-level changelog. The substantive work — the 6.1.0 release candidates — appears only as PMC voting emails. Day-to-day, the visible cadence is chart packaging for Kubernetes operators.

Read the full Apache Superset trajectory →

Qlik vs Apache Superset: editorial side-by-side

Qlik logo
Qlik
ANALYTICS
3.8

Qlik feed is all marketing — events, webinars, and a subscribe CTA, no product changelog content.

◆ Current state

The captured feed contains zero product release notes. All four entries are marketing content from qlik.com pages: the AI Reality Tour event series (May–Oct 2026), AWS Summits 2026 attendance, an open lakehouse ROI webinar, and a generic newsletter subscribe CTA. The actual product-updates blog at qlik.com/blog/category/product-updates/ is referenced but its entries did not land in the feed.

◆ Where it's heading

From the marketing posture alone, Qlik is positioning around enterprise AI scaling and open lakehouse architecture — both consistent with a vendor reframing legacy BI as an AI-native data activation platform. But without the product-updates feed, there is no observable product trajectory to comment on. The data on hand cannot support a confident read on where the product itself is heading.

◆ Prediction

The actionable next step is on the data-collection side, not the product: point the crawler at qlik.com/blog/category/product-updates/ or the Qlik Cloud release notes RSS so future runs have real changelog material. Until then commentary will repeat the 'all marketing' verdict.

A5.0

Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes

◆ Current state

What this feed surfaces for Superset is almost entirely Helm-chart version bumps and Apache release-vote threads, not application-level changelog. The substantive work — the 6.1.0 release candidates — appears only as PMC voting emails. Day-to-day, the visible cadence is chart packaging for Kubernetes operators.

◆ Where it's heading

The chart releases are clustering tightly (four 0.17.x patches in two days), which signals active deployment-side iteration ahead of a 6.1.0 cut still moving through release-candidate votes. The product direction itself isn't legible from these entries — the feed is pointed at the chart repo, not the changelog.

◆ Prediction

Expect 6.1.0 to graduate from rc to a tagged release once the vote passes, followed by a corresponding chart bump. The chart-patch cadence likely continues in the meantime.

Alternatives to Qlik 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 Qlik or Apache Superset.

See all Qlik alternatives → · See all Apache Superset alternatives →

Recent activity from Qlik and Apache Superset

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

  1. 3d agoApache SupersetHelm chart 0.17.3 (packaging bump)
  2. 4d agoApache SupersetHelm chart 0.17.2 (packaging bump)
  3. 4d agoApache SupersetHelm chart 0.17.1 (packaging bump)
  4. 5d agoApache SupersetHelm chart 0.17.0 (packaging bump)
  5. 10d agoApache SupersetHelm chart 0.16.2 (packaging bump)
  6. 11d agoApache SupersetHelm chart 0.16.1 (packaging bump)
  7. 2mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
  8. 2mo agoQlikAWS Summits 2026 promo (marketing, not a release)
  9. 2mo agoQlikOpen lakehouse ROI webinar (marketing, not a release)

Frequently asked questions

What is the difference between Qlik 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 3.8), 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 Qlik 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 3.8), 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 Qlik?

Top Qlik alternatives in Analytics are ranked by recent ship velocity. Browse the "Qlik alternatives" section above for the current picks, or visit /alternatives/qlik 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.