OpenMetadata
OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
Comparison · Analytics
Displayr vs OpenHouse
A side-by-side editorial comparison of Displayr and OpenHouse — release velocity, themes, recent moves, and the top alternatives to consider.
Displayr vs OpenHouse: at a glance
What is Displayr?
Displayr exports reports to Google Slides as editable charts and tables.
On 9 November Displayr added export to Google Slides: supported charts, tables, text and shapes become native Google objects, the rest export as images, and a Google Sheet with the underlying data is saved alongside. A week earlier custom visualizations moved to their own domain so videos, maps and saved settings work. September brought Rules through Chat and API document duplication.
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.
Displayr vs OpenHouse: editorial side-by-side
Displayr
5.0ANALYTICS
Displayr exports reports to Google Slides as editable charts and tables.
◆ Current state
On 9 November Displayr added export to Google Slides: supported charts, tables, text and shapes become native Google objects, the rest export as images, and a Google Sheet with the underlying data is saved alongside. A week earlier custom visualizations moved to their own domain so videos, maps and saved settings work. September brought Rules through Chat and API document duplication.
◆ Where it's heading
Recent releases cut the steps between analysis and the deliverable: Chat applies rules, the API copies documents, and now reports land in Slides without a manual rebuild. The pattern is finishing the survey-to-presentation path inside Displayr.
◆ Prediction
Expect export refinements, such as more native chart types or incremental re-export that keeps edits, since re-exporting currently overwrites changes made in Slides.
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 Displayr 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 Displayr 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 Displayr alternatives → · See all OpenHouse alternatives →
Recent activity from Displayr 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
- 5d agoDisplayrGoogle Slides Export
- 11d agoDisplayrCustom Visualization Security Improvements
- 1mo agoDisplayrRules and Custom Rules via Chat
- 1mo agoDisplayrDuplicate a Document Using the API
- 1mo agoDisplayrShortcut to select inputs
- 3mo agoDisplayrUse the Same Control Across Multiple Pages and Page Masters
Frequently asked questions
What is the difference between Displayr and OpenHouse?
They serve adjacent needs but don't currently overlap on shipped themes. Displayr and OpenHouse 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 Displayr better than OpenHouse?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Displayr and OpenHouse 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 Displayr?
Top Displayr alternatives in Analytics are ranked by recent ship velocity. Browse the "Displayr alternatives" section above for the current picks, or visit /alternatives/displayr 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.