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Comparison · Analytics
Holistics vs Dagster
A side-by-side editorial comparison of Holistics and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
Holistics vs Dagster: at a glance
What is Holistics?
Holistics adds period-over-period comparison to dashboards and turns viz aggregations into metrics.
Holistics is shipping weekly changes on both the modeling and consumption sides of its BI product. Viewers can now compare periods from a dashboard chart's Analyze menu, next to trend and reference lines. On the modeling side, aggregating a dimension on a viz now creates a reusable metric, after recent additions of Data Lineage, Apache Ossie conversion and branches.
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.
Holistics vs Dagster: editorial side-by-side
Holistics
5.0ANALYTICS
Holistics adds period-over-period comparison to dashboards and turns viz aggregations into metrics.
◆ Current state
Holistics is shipping weekly changes on both the modeling and consumption sides of its BI product. Viewers can now compare periods from a dashboard chart's Analyze menu, next to trend and reference lines. On the modeling side, aggregating a dimension on a viz now creates a reusable metric, after recent additions of Data Lineage, Apache Ossie conversion and branches.
◆ Where it's heading
Analysis that used to need a modeler keeps moving into the dashboard viewer's hands, while ad-hoc work in vizzes feeds back into the semantic layer as reusable definitions. Both directions strengthen the semantic model as the center of the product.
◆ Prediction
More Analyze-menu options for viewers look likely, since period comparison is the third such tool added in a month after trend and reference lines.
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 Holistics 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 Holistics 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 Holistics alternatives → · See all Dagster alternatives →
Recent activity from Holistics and Dagster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
- 2d agoHolisticsHolistics puts date grains directly in the field list
- 2d agoHolisticsLocalization is coming to embedded analytics
- 8d agoHolisticsð Compare periods directly in dashboards
- 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
- 9d agoHolistics𧩠Aggregating a dimension on a viz now creates a metric
- 12d agoHolisticsHolistics AI chat notifies you when a long task needs input
- 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
- 18d agoHolisticsPick your own color for the "Others" chart group
- 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
Frequently asked questions
What is the difference between Holistics and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. Holistics 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 Holistics better than Dagster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics 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 Holistics?
Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics 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.