Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Comparison · Analytics
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
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.
What is Apache Superset?
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
This row mirrors the separate 'superset' product entry: the feed carries Helm-chart version bumps and Apache release-vote threads rather than application changelog. The two rows track the same upstream project and the same releases under different slugs.
Qlik vs Apache Superset: editorial side-by-side
Qlik
3.8ANALYTICS
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.
Apache Superset
5.0ANALYTICS
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
◆ Current state
This row mirrors the separate 'superset' product entry: the feed carries Helm-chart version bumps and Apache release-vote threads rather than application changelog. The two rows track the same upstream project and the same releases under different slugs.
◆ Where it's heading
As with its twin, the visible motion is chart packaging clustering ahead of a 6.1.0 release still in candidate voting. There is no product direction here distinct from the other Superset row.
◆ Prediction
6.1.0 lands once the PMC vote closes, with a matching chart bump; the two duplicate rows should be reconciled to one canonical product.
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.
Fulcrum
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apify
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Apache Superset
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
Tinybird
Tinybird funnels customers from Classic to Forward while widening connectors and SDK coverage.
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.
- 3d agoApache SupersetHelm chart 0.17.3 (packaging bump)
- 4d agoApache SupersetHelm chart 0.17.2 (packaging bump)
- 4d agoApache SupersetHelm chart 0.17.1 (packaging bump)
- 5d agoApache SupersetHelm chart 0.17.0 (packaging bump)
- 10d agoApache SupersetHelm chart 0.16.2 (packaging bump)
- 11d agoApache SupersetHelm chart 0.16.1 (packaging bump)
- 2mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
- 2mo agoQlikAWS Summits 2026 promo (marketing, not a release)
- 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/apache-superset for the full list with editorial commentary on each.