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dbt Core vs Dagster

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

Shared themes:python-support

dbt Core vs Dagster: at a glance

Featuredbt CoreDagster
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesfusion-migration, v2-transition, python-support, dependency-managementorchestration, mcp, dbt-fusion, dagster-plus
Last editorial update19h ago5h ago
WebsiteVisit →Visit →

What is dbt Core?

dbt 2.0 dev.44 adds ClickHouse clusters, grants and clone ahead of the next v2 release.

dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 1.x line now works as a bridge to it. The 2.0.0-dev.44 build adds ClickHouse cluster support with distributed materializations, grants and dbt clone, and lets Lake Compute models ref() Databricks managed Delta tables. On the 1.x side, 1.13.0rc1 drops Python 3.10 and 1.11.17 fixes git package installs under newer libcurl.

Read the full dbt Core trajectory →

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.

Read the full Dagster trajectory →

dbt Core vs Dagster: editorial side-by-side

D
dbt Core
ANALYTICS
5.0

dbt 2.0 dev.44 adds ClickHouse clusters, grants and clone ahead of the next v2 release.

◆ Current state

dbt 2.0 GA split the project into a proprietary 'dbt' binary and dbt-oss, and the 1.x line now works as a bridge to it. The 2.0.0-dev.44 build adds ClickHouse cluster support with distributed materializations, grants and dbt clone, and lets Lake Compute models ref() Databricks managed Delta tables. On the 1.x side, 1.13.0rc1 drops Python 3.10 and 1.11.17 fixes git package installs under newer libcurl.

◆ Where it's heading

dbt Labs keeps two jobs running on 1.x: older lines get patches when the environment breaks them, and the newest line makes projects ready for v2. The 1.13 GA is the next milestone on that bridge.

◆ Prediction

Expect 1.13.0 final soon after the release candidate, with v2-compatibility changes. More 1.11 patches will likely follow only when outside breakages force them.

D
Dagster
ANALYTICS
5.0

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 dbt Core 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 dbt Core or Dagster.

See all dbt Core alternatives → · See all Dagster alternatives →

Recent activity from dbt Core and Dagster

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

  1. 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
  2. 2d agodbt Coredbt 1.12.7 fixes source freshness and cache-selected-only
  3. 3d agodbt Coredbt 2.0 dev.44 adds ClickHouse clusters, grants and clone
  4. 8d agodbt Coredbt 1.11.17 fixes git package installs under new libcurl
  5. 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
  6. 9d agodbt Coredbt-core 1.13 RC drops Python 3.10, accepts v2-only config
  7. 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
  8. 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
  9. 1mo agodbt Coredbt 1.12.6 points users to v2 and fixes Fusion parser logging
  10. 1mo agodbt Coredbt 1.11.16 fixes nested wildcard selectors, adds tarball path check
  11. 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
  12. 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes

Frequently asked questions

What is the difference between dbt Core and Dagster?

Both compete on the same themes — python-support — within Analytics. dbt Core and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is dbt Core better than Dagster?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core and Dagster are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to dbt Core?

Top dbt Core alternatives in Analytics are ranked by recent ship velocity. Browse the "dbt Core alternatives" section above for the current picks, or visit /alternatives/dbt-core 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.