OpenMetadata
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
A side-by-side editorial comparison of dbt Core and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
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.
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.
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.
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.
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.
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio opens the 2026.11 train with another NOTICE file update.
See all dbt Core alternatives → · See all Dagster alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.