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Comparison · Analytics
Qlik vs Dagster
A side-by-side editorial comparison of Qlik and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Qlik vs Dagster: 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 Dagster?
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
Qlik vs Dagster: 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.
Dagster
5.0ANALYTICS
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
◆ Current state
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
◆ Where it's heading
The Dagster+ MCP server has grown release by release, from launching runs without a code location in September to controlling schedules, sensors and partitions now. Combined with the dbt split, Dagster is trimming legacy dependencies while making the orchestrator something an agent can operate, not just a person in the UI.
◆ Prediction
The MCP server still lacks write access to things like backfills and alert policies, so expanding it there is the most visible next step; further Python and dbt version floors are likely to follow the 3.10 cut.
Alternatives to Qlik and Dagster
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 Dagster.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Qlik alternatives → · See all Dagster alternatives →
Recent activity from Qlik and Dagster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
- 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
- 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
- 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 6mo agoQlikAI Reality Tour 2026 promo (marketing, not a release)
- 6mo agoQlikAWS Summits 2026 promo (marketing, not a release)
- 7mo agoQlikOpen lakehouse ROI webinar (marketing, not a release)
Frequently asked questions
What is the difference between Qlik and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. Dagster 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 Dagster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster 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 Dagster?
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.