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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 25.03.59 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.
What is TimescaleDB?
TimescaleDB 2.32 turns on its new integer compressor and drops superuser needs.
TimescaleDB ships on a steady cadence where most releases are columnstore, SkipScan and continuous aggregate fixes. 2.31.0 vectorized UPDATE and DELETE on compressed data and previewed an Adaptive Integer Compressor. 2.32.0 turns that compressor on by default, speeds continuous aggregate refreshes, and arrives with a larger than usual batch of security fixes: background workers, the scheduler and telemetry now run as the database owner rather than as superuser.
Countly vs TimescaleDB: editorial side-by-side
Countly
5.0ANALYTICS
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.
TimescaleDB
5.0ANALYTICS
TimescaleDB 2.32 turns on its new integer compressor and drops superuser needs.
◆ Current state
TimescaleDB ships on a steady cadence where most releases are columnstore, SkipScan and continuous aggregate fixes. 2.31.0 vectorized UPDATE and DELETE on compressed data and previewed an Adaptive Integer Compressor. 2.32.0 turns that compressor on by default, speeds continuous aggregate refreshes, and arrives with a larger than usual batch of security fixes: background workers, the scheduler and telemetry now run as the database owner rather than as superuser.
◆ Where it's heading
Feature releases keep cutting the cost of running large hypertables, while 2.32 adds a second thread: running safely without superuser rights. That matters most for managed and multi-tenant Postgres setups where superuser is not available.
◆ Prediction
Expect quick 2.32.x patches for the new compressor and the owner-based worker model, as happened after 2.30's planner change; the release already points users to 2.32.1 before upgrading Postgres.
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.
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.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
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 Countly alternatives → · See all TimescaleDB alternatives →
Recent activity from Countly and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
- 1d agoTimescaleDB2.32.0: integer compression on by default, owner-run workers
- 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
- 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 24d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
- 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 1mo agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
- 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
- 2mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
- 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
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.