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Comparison · Analytics

Countly vs OpenHouse

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

Countly vs OpenHouse: at a glance

FeatureCountlyOpenHouse
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesproduct-analytics, self-hosted, security-patches, api tokensdata lakehouse, iceberg, table catalog, views
Last editorial update1d ago1d ago
WebsiteVisit →Visit →

What is Countly?

Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.

Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.

Read the full Countly trajectory →

What is OpenHouse?

OpenHouse locks down its column-defaults capability flag as default values near completion.

OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.

Read the full OpenHouse trajectory →

Countly vs OpenHouse: editorial side-by-side

C
Countly
ANALYTICS
5.0

Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.

◆ Current state

Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.

◆ Where it's heading

The 25.03 LTS line keeps absorbing security work at a fast clip: an upstream Node CVE, certificate distrust, and now a sweep of Countly's own token and permission model. Feature work stays in enterprise licensing and journeys, while LTS releases mostly harden what exists.

◆ Prediction

Expect a matching 24.05 backport of the token and permission fixes. Token owners may also need migration guidance, since existing app-restricted tokens without permissions are now limited to their owner's rights.

O
OpenHouse
ANALYTICS
5.0

OpenHouse locks down its column-defaults capability flag as default values near completion.

◆ Current state

OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.

◆ Where it's heading

LinkedIn's table catalog is moving business rules into the commit itself, so defaults, property rules and commit policies all reject the same way with clear 400s. Views and column default values are being built in parallel, and both are now past plumbing into user-facing guards. The team favors small, reversible steps.

◆ Prediction

Expect column default values and the Views client API to become usable end to end within the next few builds, with more PreCommitCheck rules registered by the tables service.

Alternatives to Countly 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 Countly or OpenHouse.

See all Countly alternatives → · See all OpenHouse alternatives →

Recent activity from Countly and OpenHouse

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

  1. 1d agoOpenHousev0.5.543: Add integration tests for snapshot expiration with refs (#492)
  2. 1d agoOpenHousev0.5.542: column-default checks enforced in doCommit
  3. 1d agoOpenHousev0.5.541: [default values] Gate tables on capabilities the client declares (#848)
  4. 1d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
  5. 2d agoOpenHousev0.5.540: Spark integration test for column initial defaults
  6. 2d agoOpenHousev0.5.539: column-defaults capability property made immutable
  7. 3d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
  8. 3d agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
  9. 6d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
  10. 17d agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
  11. 29d agoCountly24.05.54: data-manager merge and logging fixes
  12. 1mo agoCountly25.03.54: License v2 entitlements and journey charts

Frequently asked questions

What is the difference between Countly and OpenHouse?

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

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

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.