OpenPanel
OpenPanel reaches 3.9.0 within six days of 3.0.0, still with no release notes.
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 ripped out its custom-code sandbox and rebuilt its Docker stack from scratch in a single LTS drop.
Countly is in an extended security hardening cycle, maintaining two parallel LTS lines — 25.03.x and 24.05.x — with coordinated patch releases. The 25.03.52-LTS was structurally significant: Docker images rebuilt as multi-stage on Debian 13 and Node.js 24 to strip compilers and build tooling from production images, the legacy v8-sandbox replaced by isolated-vm eliminating network, filesystem, and process access from custom hooks, and the A/B testing backend migrated from end-of-life Python 3.8 and pystan to Python 3.12 and cmdstanpy. The 25.03.53 and 24.05.53 patches that followed addressed XSS, OIDC session handling, and embedded widget cross-origin policies.
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
6.3ANALYTICS
Countly ripped out its custom-code sandbox and rebuilt its Docker stack from scratch in a single LTS drop.
◆ Current state
Countly is in an extended security hardening cycle, maintaining two parallel LTS lines — 25.03.x and 24.05.x — with coordinated patch releases. The 25.03.52-LTS was structurally significant: Docker images rebuilt as multi-stage on Debian 13 and Node.js 24 to strip compilers and build tooling from production images, the legacy v8-sandbox replaced by isolated-vm eliminating network, filesystem, and process access from custom hooks, and the A/B testing backend migrated from end-of-life Python 3.8 and pystan to Python 3.12 and cmdstanpy. The 25.03.53 and 24.05.53 patches that followed addressed XSS, OIDC session handling, and embedded widget cross-origin policies.
◆ Where it's heading
Countly is hardening its self-hosted security posture — the isolated-vm switch and Docker rebuild reduce attack surface without changing the product surface for end users. Running two LTS tracks simultaneously signals a maturing enterprise customer base that cannot upgrade on a quarterly cadence. Feature development in journey_engine and content continues on a separate lane from the security work, suggesting the two concerns are intentionally decoupled.
◆ Prediction
The Node.js 22/24 migration will propagate to additional components. The isolated-vm change will likely prompt tighter documentation of what custom code can and cannot access. Dual LTS maintenance continues as long as significant deployments remain on 24.05.x.
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.
ChartMogul
ChartMogul's MRRaudit goes after its own core problem: MRR figures that don't reconcile.
Omni
Omni now accepts dashboards built in Claude, pairing it with more API and MCP endpoints.
Swetrix
Swetrix adds opt-in outbound link tracking, filling another gap in its tracker.
Keboola
Keboola sets February 4, 2027 to stop sending Storage API tokens by email.
Chord
Chord adds Amazon Conversions API to its CDP destinations as the catalog keeps widening.
See all Countly alternatives → · See all TimescaleDB alternatives →
Recent activity from Countly and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
- 24d agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
- 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
- 1mo agoCountlyCountly Version 25.03.53-LTS
- 1mo agoCountlyCountly Version 24.05.53
- 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
- 2mo agoCountlyCountly Release 25.03.52-LTS (Long term support) ⚡
- 2mo agoTimescaleDB2.29.1: security fixes for compressed-data handling
- 2mo agoCountlyCountly Release 24.05.52
- 2mo agoCountlyCountly Release 25.03.51
- 3mo agoCountlyCountly Release 25.03.50
Frequently asked questions
What is the difference between Countly and TimescaleDB?
They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 editorial sparks in the last 30 days against 0. 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 is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 editorial sparks in the last 30 days against 0. 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 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.