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Comparison · Analytics
Plausible vs Dagster
A side-by-side editorial comparison of Plausible and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Plausible vs Dagster: at a glance
What is Plausible?
Plausible removes the goal setup step from funnels.
Plausible's 2026 work centres on funnels: strict order, time comparison, revenue tracking, flexible steps, and now funnels that no longer require goals to be configured first. Around that sit the AI Assistants referral channel, chart annotations, full-URL page reports and user journeys.
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.
Plausible vs Dagster: editorial side-by-side
Plausible
2.5ANALYTICS
Plausible removes the goal setup step from funnels.
◆ Current state
Plausible's 2026 work centres on funnels: strict order, time comparison, revenue tracking, flexible steps, and now funnels that no longer require goals to be configured first. Around that sit the AI Assistants referral channel, chart annotations, full-URL page reports and user journeys.
◆ Where it's heading
Each funnel release lowers the effort needed to answer a conversion question, and the latest removes the last setup step. Plausible is turning funnels from a configured report into something a user can build on the spot, while keeping the product's simple-analytics position.
◆ Prediction
The next releases likely continue reducing setup across reports, for example building segments or goals inline from existing data. The entries do not show a pricing or plan change tied to funnels.
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 Plausible 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 Plausible or Dagster.
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.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Plausible alternatives → · See all Dagster alternatives →
Recent activity from Plausible 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
- 12d agoPlausibleBuild funnels without setting up goals first
- 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 agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 1mo agoPlausibleFlexible funnels
- 2mo agoPlausibleCompare funnels over time and track revenue in funnels
- 4mo agoPlausibleAdd notes to your traffic chart with annotations
- 4mo agoPlausibleSee full URLs in Page reports
- 5mo agoPlausibleNew AI Assistants channel ⚡
Frequently asked questions
What is the difference between Plausible 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 Plausible 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 Plausible?
Top Plausible alternatives in Analytics are ranked by recent ship velocity. Browse the "Plausible alternatives" section above for the current picks, or visit /alternatives/plausible 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.