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Comparison · Analytics

OpenHouse vs Countly

A side-by-side editorial comparison of OpenHouse and Countly — release velocity, themes, recent moves, and the top alternatives to consider.

OpenHouse vs Countly: at a glance

FeatureOpenHouseCountly
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesdata lakehouse, iceberg, data retention, governanceproduct-analytics, self-hosted, security-patches, access control
Last editorial update12h ago14h ago
WebsiteVisit →Visit →

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.

Read the full OpenHouse trajectory →

What is Countly?

Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.

Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.

Read the full Countly trajectory →

OpenHouse vs Countly: editorial side-by-side

O
OpenHouse
ANALYTICS
5.0

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.

C
Countly
ANALYTICS
5.0

Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.

◆ Current state

Countly 25.03.59 on November 13 is a large LTS patch. Clean installs and Docker images move to Node.js 26 and MongoDB 9.0, with older versions still working, and arm64 Docker images arrive. Security fixes tighten which apps a scoped token or member can reach across exports, dashboards, alerts and data tools, and wrong two-factor codes now count toward lockout.

◆ Where it's heading

Countly is still mostly hardening access control, carrying the token-scoping work from 25.03.58 into every plugin that reads or changes app data. At the same time it keeps the self-hosted stack on current runtimes.

◆ Prediction

Expect a 24.05 patch that backports these scoping fixes, as 24.05.55 did after 25.03.58.

Alternatives to OpenHouse and Countly

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 Countly.

See all OpenHouse alternatives → · See all Countly alternatives →

Recent activity from OpenHouse and Countly

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 13h agoOpenHouseRetention policies on string date columns accept a time zone
  2. 15h agoOpenHouseOpenHouse adds an optional per-database table count limit
  3. 16h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
  4. 17h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
  5. 1d agoOpenHouseFix view REPLACE property validation
  6. 1d agoOpenHouseOpenHouse audits view requests and operations in full
  7. 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
  8. 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
  9. 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
  10. 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
  11. 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
  12. 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names

Frequently asked questions

What is the difference between OpenHouse and Countly?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse and Countly 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 Countly?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse and Countly 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 Countly?

Top Countly alternatives in Analytics are ranked by recent ship velocity. Browse the "Countly alternatives" section above for the current picks, or visit /alternatives/countly-server for the full list with editorial commentary on each.