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Comparison · Analytics
Count vs OpenHouse
A side-by-side editorial comparison of Count and OpenHouse — release velocity, themes, recent moves, and the top alternatives to consider.
Count vs OpenHouse: 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 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.
Count vs OpenHouse: 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.
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.
Alternatives to Count and OpenHouse
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 OpenHouse.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
Dagster
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
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 Count alternatives → · See all OpenHouse alternatives →
Recent activity from Count and OpenHouse
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 14h agoOpenHouseRetention policies on string date columns accept a time zone
- 16h 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
- 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
- 15d agoCountReasoning Chains ⚡
- 29d agoCountLonger agent conversations
- 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 OpenHouse?
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 OpenHouse?
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 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.