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Comparison · Analytics
Count vs Dagster
A side-by-side editorial comparison of Count and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Count vs Dagster: at a glance
What is Count?
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
What is Dagster?
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.
Count vs Dagster: editorial side-by-side
Count
6.3ANALYTICS
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
◆ Current state
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
◆ Where it's heading
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
◆ Prediction
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Dagster
5.0ANALYTICS
Dagster is untangling itself from dbt-core so dbt Fusion can run without a fight.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to Count 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 Count or Dagster.
Delta Lake
Delta Lake's public stream is release mechanics; Kernel builds now carry a 4.5.0 label.
Grafana Loki
Loki 4.0 RC strips out legacy storage backends and the simple scalable mode.
OpenObserve
OpenObserve 1.2.0-rc1 opens a metrics v2 cycle with chart alerts and forecasts.
Keboola
Keboola connects GitHub organizations once, ending personal tokens for private repos.
dbt Core
dbt-core 1.13 drops Python 3.10 and learns to tolerate v2-only project config.
See all Count alternatives → · See all Dagster alternatives →
Recent activity from Count and Dagster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6h agoDagster1.13.29: more mobile layouts, faster search and catalog
- 6d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
- 7d agoCountReasoning Chains ⚡
- 10d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 21d agoCountLonger agent conversations
- 27d agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 1mo agoDagster1.13.24: cross-account ECS discovery, snapshot column lineage
- 1mo agoCountNo gaps while catalog views refresh
- 2mo agoCountSSO sign-in banner and clearer SQL Server errors
- 2mo agoCountA faster start from an empty canvas
- 3mo agoCountNew sign-in and sign-up
Frequently asked questions
What is the difference between Count and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 Count better than Dagster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 Count?
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count 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.