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Comparison · Analytics
Apache Kylin vs Dagster
A side-by-side editorial comparison of Apache Kylin and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Kylin vs Dagster: at a glance
What is Apache Kylin?
Kylin keeps tagging releases, 5.0.5 included, without saying what changed.
Apache Kylin tagged 5.0.5 on 12 October, three months after 5.0.4, and like its predecessor it carries only the Maven release plugin's commit message. The last release that documented its contents was 5.0.2 in April 2025, covering internal-table caching, partition-aware file merging and Gluten jar loading order. The 5.0 line itself dates from September 2024.
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.
Apache Kylin vs Dagster: editorial side-by-side
Apache Kylin
2.5ANALYTICS
Kylin keeps tagging releases, 5.0.5 included, without saying what changed.
◆ Current state
Apache Kylin tagged 5.0.5 on 12 October, three months after 5.0.4, and like its predecessor it carries only the Maven release plugin's commit message. The last release that documented its contents was 5.0.2 in April 2025, covering internal-table caching, partition-aware file merging and Gluten jar loading order. The 5.0 line itself dates from September 2024.
◆ Where it's heading
The tag cadence has picked up (July, then October) while the documentation has stopped entirely, so the 5.0.x line is being maintained but not explained. Anyone tracking Kylin has to read the commit history rather than the release feed.
◆ Prediction
Another bare 5.0.x tag is the likeliest next entry; nothing in the feed points to a 5.1 or 6.0.
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 Apache Kylin 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 Apache Kylin or Dagster.
OpenMetadata
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
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.
See all Apache Kylin alternatives → · See all Dagster alternatives →
Recent activity from Apache Kylin 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 agoApache KylinKylin 5.0.5 tagged without release notes
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 4mo agoApache Kylin5.0.4 tagged with no release notes
- 1y agoApache Kylin5.0.3 tagged with no release notes
- 1y agoApache KylinInternal table caching, partition file merging, Gluten fixes
- 2y agoApache KylinApache Kylin 5.0.0 ⚡
- 2y agoApache KylinStreaming function fix
Frequently asked questions
What is the difference between Apache Kylin and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. Dagster is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Kylin 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 2.5), 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 Kylin?
Top Apache Kylin alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Kylin alternatives" section above for the current picks, or visit /alternatives/apache-kylin 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.