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Comparison · Analytics

OpenReplay vs Qlik

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

OpenReplay vs Qlik: at a glance

FeatureOpenReplayQlik
SectorAnalyticsAnalytics
Velocity score5.03.8
Sparks · 30d00
Top themessession replay, self-hosted, go, dependency upgradesanalytics-bi, feed-quality, enterprise-ai, data-lakehouse
Last editorial update23h ago5mo ago
WebsiteVisit →Visit →

What is OpenReplay?

OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.

On Oct 28 OpenReplay pushed backup tags on the 1.25, 1.26 and 1.27 lines that migrate the Go backend to pgx v5, bump vulnerable Go dependencies such as golang.org/x/net, and then fix a replay query that broke under the migration by casting issue_types to text. The previous days moved the assist and sourcemap-reader services to Node 26 LTS on the same lines and on 1.22.

Read the full OpenReplay 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 →

OpenReplay vs Qlik: editorial side-by-side

O
OpenReplay
ANALYTICS
5.0

OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.

◆ Current state

On Oct 28 OpenReplay pushed backup tags on the 1.25, 1.26 and 1.27 lines that migrate the Go backend to pgx v5, bump vulnerable Go dependencies such as golang.org/x/net, and then fix a replay query that broke under the migration by casting issue_types to text. The previous days moved the assist and sourcemap-reader services to Node 26 LTS on the same lines and on 1.22.

◆ Where it's heading

The release feed is all maintenance: dependency and runtime upgrades backported to several self-hosted lines at once, published as timestamped backup tags without feature notes. The quick follow-up fix shows the pgx migration is touching real query paths.

◆ Prediction

Expect more backup tags as the pgx v5 change reaches 1.22 and any further query fixes land; nothing in the entries points to a feature release.

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 OpenReplay 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 OpenReplay or Qlik.

See all OpenReplay alternatives → · See all Qlik alternatives →

Recent activity from OpenReplay and Qlik

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

  1. 1d agoOpenReplay1.25: replay query fix after pgx v5 migration
  2. 1d agoOpenReplay1.26: replay query fix after pgx v5 migration
  3. 1d agoOpenReplay1.27: replay query fix after pgx v5 migration
  4. 1d agoOpenReplay1.25: pgx v5 migration and Go dependency patches (re-cut)
  5. 1d agoOpenReplay1.25: pgx v5 migration and Go dependency patches
  6. 1d agoOpenReplay1.26: pgx v5 migration and Go dependency patches
  7. 6mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
  8. 6mo agoQlikAWS Summits 2026 promo (marketing, not a release)
  9. 6mo agoQlikOpen lakehouse ROI webinar (marketing, not a release)

Frequently asked questions

What is the difference between OpenReplay and Qlik?

They serve adjacent needs but don't currently overlap on shipped themes. OpenReplay 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 OpenReplay better than Qlik?

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

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