Microsoft Clarity
Clarity pitches one view of agents, LLM referrals and human visitors.
A side-by-side editorial comparison of Dagster and dbt Core — release velocity, themes, recent moves, and the top alternatives to consider.
Dagster is untangling itself from dbt-core so dbt Fusion can run without a fight.
Dagster's recent 1.13 releases follow two threads. dagster-dbt no longer installs dbt-core, and a dbt v2 extra installs the Fusion engine with clear errors if the two are mixed. The UI keeps gaining phone layouts, now covering code locations, sensors and schedules, while 1.13.29 also speeds up run logs, global search and the asset catalog. Dagster+ added capacity-based alert policies, and agents can retry code locations that fail to start.
dbt-core 1.13 drops Python 3.10 and learns to tolerate v2-only project config.
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 1.13 beta added an opt-in --use-v2-parser backed by the Fusion parser, 1.12.6 prints a v2 notice on dbt --version, and the 1.13.0 release candidate drops Python 3.10 while accepting v2-only keys in dbt_project.yml and ignoring v2 'checks' nodes in --state manifests.
Dagster's recent 1.13 releases follow two threads. dagster-dbt no longer installs dbt-core, and a dbt v2 extra installs the Fusion engine with clear errors if the two are mixed. The UI keeps gaining phone layouts, now covering code locations, sensors and schedules, while 1.13.29 also speeds up run logs, global search and the asset catalog. Dagster+ added capacity-based alert policies, and agents can retry code locations that fail to start.
The dbt work is a dependency reset with real consequences, because Fusion and dbt-core claim the same import namespace and overwrite each other silently. Dagster made the safe path the default and accepted a breaking change to do it. The rest of the window is operational hardening: resuming run workers on ECS, cross-account service discovery and clearer failure reasons when a run worker dies.
Weekly-style 1.13 releases should keep extending Fusion coverage in dagster-dbt, since metadata fetching there still degrades to warnings. Declarative Automation for jobs does not appear in these entries, so its exit from preview remains unconfirmed.
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 1.13 beta added an opt-in --use-v2-parser backed by the Fusion parser, 1.12.6 prints a v2 notice on dbt --version, and the 1.13.0 release candidate drops Python 3.10 while accepting v2-only keys in dbt_project.yml and ignoring v2 'checks' nodes in --state manifests.
Each 1.x release makes mixed v1/v2 projects less painful: shared config files, shared manifests and a shared parser. The 1.x line looks set to stay maintained mainly as a migration path, with compatibility shims rather than new modelling features.
1.13.0 final is likely within weeks, with the v2 parser still opt-in; the bigger question the entries leave open is when 1.x stops getting feature work.
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 Dagster or dbt Core.
Clarity pitches one view of agents, LLM referrals and human visitors.
Delta Lake's public stream is release mechanics; Kernel builds now carry a 4.5.0 label.
Loki 4.0 RC strips out legacy storage backends and the simple scalable mode.
OpenObserve 1.2.0-rc1 opens a metrics v2 cycle with chart alerts and forecasts.
Keboola connects GitHub organizations once, ending personal tokens for private repos.
Chord adds Amazon Conversions API to its CDP destinations as the catalog keeps widening.
See all Dagster alternatives → · See all dbt Core alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dagster and dbt Core 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. Dagster and dbt Core 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 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.
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.