RStudio
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Comparison · Analytics
Countly vs TimescaleDB
A side-by-side editorial comparison of Countly and TimescaleDB — release velocity, themes, recent moves, and the top alternatives to consider.
Countly vs TimescaleDB: at a glance
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.
What is TimescaleDB?
TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.
TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.
Countly vs TimescaleDB: editorial side-by-side
Countly
5.0ANALYTICS
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.
TimescaleDB
5.0ANALYTICS
TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.
◆ Current state
TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.
◆ Where it's heading
The columnstore is being made a place where data can be changed, not just queried: chunk-level locking for DML in 2.29, vectorized DML and non-blocking compression in 2.31. Granular continuous-aggregate refresh is maturing alongside with APIs, views and refresh statistics. Each minor release is still followed by correctness patches.
◆ Prediction
2.32.0 will enable the Adaptive Integer Compressor by default, as the 2.31 notes state. Expect a couple of 2.31.x patches for the new DML and compression paths first.
Alternatives to Countly and TimescaleDB
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 TimescaleDB.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
See all Countly alternatives → · See all TimescaleDB alternatives →
Recent activity from Countly and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 3d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 6d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 9d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
- 17d agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 29d agoCountly24.05.54: data-manager merge and logging fixes
- 1mo agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
- 1mo agoCountly25.03.54: License v2 entitlements and journey charts
- 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
- 1mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
- 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
- 2mo agoTimescaleDB2.29.1: security fixes for compressed-data handling
Frequently asked questions
What is the difference between Countly and TimescaleDB?
They serve adjacent needs but don't currently overlap on shipped themes. Countly and TimescaleDB 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 TimescaleDB?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly and TimescaleDB 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 TimescaleDB?
Top TimescaleDB alternatives in Analytics are ranked by recent ship velocity. Browse the "TimescaleDB alternatives" section above for the current picks, or visit /alternatives/timescaledb for the full list with editorial commentary on each.