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A side-by-side editorial comparison of Datawrapper and OpenHouse — release velocity, themes, recent moves, and the top alternatives to consider.
Datawrapper lets locator maps use your own icons, then keeps fixing small chart behaviours.
Datawrapper's changelog remains a stream of small, dated changes to individual chart types. The largest recent item lets locator-map authors pick from a larger icon set or upload their own marker icons, with backgrounds or outlines to separate them from the map. Around it sit fixes for custom month ticks, archive search surviving a re-sort, row highlighting in arrow and dot plots, and a batch of new boundary maps for Australia, Azerbaijan, Brazil and US ZIP areas.
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.
Datawrapper's changelog remains a stream of small, dated changes to individual chart types. The largest recent item lets locator-map authors pick from a larger icon set or upload their own marker icons, with backgrounds or outlines to separate them from the map. Around it sit fixes for custom month ticks, archive search surviving a re-sort, row highlighting in arrow and dot plots, and a batch of new boundary maps for Australia, Azerbaijan, Brazil and US ZIP areas.
The work is spread across chart types rather than concentrated on one bet: maps get the most attention, with icon customization, dark-mode zoom controls and monthly boundary additions. Expect the same cadence of per-chart refinements, with maps continuing to receive the visible upgrades.
More map customization is the likeliest next step, following custom icons with further marker or label styling options; the entries give no sign of a new chart type.
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.
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.
Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.
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 Datawrapper or OpenHouse.
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OpenMetadata 2.0.8 widens Hex, Sigma and BigQuery coverage while 2.1 waits in release candidates.
Dovetail lets admins choose which connectors members can plug into the workspace.
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
See all Datawrapper alternatives → · See all OpenHouse alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Datawrapper 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Datawrapper 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.
Top Datawrapper alternatives in Analytics are ranked by recent ship velocity. Browse the "Datawrapper alternatives" section above for the current picks, or visit /alternatives/datawrapper for the full list with editorial commentary on each.
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.