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Comparison · Analytics

Qlik vs OpenHouse

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

Qlik vs OpenHouse: at a glance

FeatureQlikOpenHouse
SectorAnalyticsAnalytics
Velocity score3.85.0
Sparks · 30d00
Top themesanalytics-bi, feed-quality, enterprise-ai, data-lakehousedata lakehouse, iceberg, data retention, governance
Last editorial update6mo ago13h 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 OpenHouse?

OpenHouse adds time-zone-aware retention and per-database table caps.

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

Read the full OpenHouse trajectory →

Qlik vs OpenHouse: 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.

O
OpenHouse
ANALYTICS
5.0

OpenHouse adds time-zone-aware retention and per-database table caps.

◆ Current state

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

◆ Where it's heading

OpenHouse is adding the controls a shared lakehouse needs at scale: quotas, audit trails and retention that matches business calendars. Views are getting the same governance tables already had.

◆ Prediction

Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.

Alternatives to Qlik and OpenHouse

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 OpenHouse.

See all Qlik alternatives → · See all OpenHouse alternatives →

Recent activity from Qlik and OpenHouse

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

  1. 14h agoOpenHouseRetention policies on string date columns accept a time zone
  2. 16h agoOpenHouseOpenHouse adds an optional per-database table count limit
  3. 18h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
  4. 1d agoOpenHouseFix view REPLACE property validation
  5. 1d agoOpenHouseOpenHouse audits view requests and operations in full
  6. 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
  7. 6mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
  8. 6mo agoQlikAWS Summits 2026 promo (marketing, not a release)
  9. 7mo agoQlikOpen lakehouse ROI webinar (marketing, not a release)

Frequently asked questions

What is the difference between Qlik and OpenHouse?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse 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 OpenHouse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse 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 OpenHouse?

Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse for the full list with editorial commentary on each.