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Apache Superset vs Qlik

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

Apache Superset vs Qlik: at a glance

FeatureApache SupersetQlik
SectorAnalyticsAnalytics
Velocity score5.03.8
Sparks · 30d00
Top themeshelm-chart, packaging, deployment, open-source-bianalytics-bi, feed-quality, enterprise-ai, data-lakehouse
Last editorial update1d ago3mo ago
WebsiteVisit →Visit →

What is Apache Superset?

Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.

Every entry in this feed is a Helm chart tag from the apache/superset repository, carrying no notes beyond a one-line project blurb. The chart has moved from 0.19.0 to 0.22.5 in about six weeks, a packaging cadence rather than an application one. Nothing here describes a change to Superset's dashboards, SQL Lab, or semantic layer.

Read the full Apache Superset trajectory →

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 →

Apache Superset vs Qlik: editorial side-by-side

Apache Superset logo5.0

Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.

◆ Current state

Every entry in this feed is a Helm chart tag from the apache/superset repository, carrying no notes beyond a one-line project blurb. The chart has moved from 0.19.0 to 0.22.5 in about six weeks, a packaging cadence rather than an application one. Nothing here describes a change to Superset's dashboards, SQL Lab, or semantic layer.

◆ Where it's heading

The chart is being cut on a fast, small-increment schedule — five patches inside 0.22.x in under three weeks. That pattern usually reflects deployment plumbing being tuned against a moving upstream image rather than any single problem being chased. Until the crawl points at the release notes for Superset itself, this feed will keep reporting packaging motion and nothing about the product.

◆ Prediction

Expect continued 0.22.x patch tags at a similar pace, with a 0.23.0 chart bump likely when the next Superset application release lands. The entries themselves will stay note-free unless the project starts populating chart release bodies.

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.

Alternatives to Apache Superset and Qlik

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 Superset or Qlik.

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

Recent activity from Apache Superset and Qlik

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

  1. 2d agoApache Supersetsuperset-helm-chart-0.22.5
  2. 15d agoApache Supersetsuperset-helm-chart-0.22.4
  3. 18d agoApache Supersetsuperset-helm-chart-0.22.3
  4. 20d agoApache Supersetsuperset-helm-chart-0.22.2
  5. 21d agoApache Supersetsuperset-helm-chart-0.22.1
  6. 24d agoApache Supersetsuperset-helm-chart-0.22.0
  7. 3mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
  8. 3mo agoQlikAWS Summits 2026 promo (marketing, not a release)
  9. 3mo agoQlikOpen lakehouse ROI webinar (marketing, not a release)

Frequently asked questions

What is the difference between Apache Superset and Qlik?

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 Apache Superset better than Qlik?

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 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/apache-superset for the full list with editorial commentary on each.

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.