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Comparison · Analytics
OpenHouse vs Dagster
A side-by-side editorial comparison of OpenHouse and Dagster — release velocity, themes, recent moves, and the top alternatives to consider.
OpenHouse vs Dagster: at a glance
What is OpenHouse?
OpenHouse adds time-zone-aware retention and per-database table caps.
OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.
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.
OpenHouse vs Dagster: editorial side-by-side
OpenHouse
5.0ANALYTICS
OpenHouse adds time-zone-aware retention and per-database table caps.
◆ Current state
OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.
◆ Where it's heading
OpenHouse is adding the controls a shared lakehouse needs at scale: quotas, audit trails and retention that matches business calendars. Views are getting the same governance tables already had.
◆ Prediction
Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.
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 OpenHouse 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 OpenHouse or Dagster.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
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.
OpenObserve
OpenObserve 1.2.0-rc2 is a long fix list that closes a cross-tenant write gap.
See all OpenHouse alternatives → · See all Dagster alternatives →
Recent activity from OpenHouse and Dagster
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13h agoOpenHouseRetention policies on string date columns accept a time zone
- 15h agoOpenHouseOpenHouse adds an optional per-database table count limit
- 18h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
- 1d agoOpenHouseFix view REPLACE property validation
- 1d agoOpenHouseOpenHouse audits view requests and operations in full
- 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
- 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
- 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
- 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
Frequently asked questions
What is the difference between OpenHouse and Dagster?
They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse 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 OpenHouse better than Dagster?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse 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 OpenHouse?
Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse 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.