OpenPanel
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Comparison · Analytics
Countly vs HyperDX
A side-by-side editorial comparison of Countly and HyperDX — release velocity, themes, recent moves, and the top alternatives to consider.
Countly vs HyperDX: 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 HyperDX?
HyperDX now tags every ClickHouse query it runs, so teams can see which dashboard drives the load.
HyperDX ships as a monorepo of versioned packages (app, api, CLI, common-utils, collector), so one release shows up as several changelog entries. The 2.41.0 wave on October 13 adds PromQL heatmaps, a minimum auto granularity on PromQL sources, and query attribution: every ClickHouse and PromQL query carries an hdx- query_id and a JSON log_comment naming the dashboard, tile, search or alert behind it. The API also stops falling back to a public session secret, and AI assistant calls now emit OpenTelemetry GenAI-convention spans.
Countly vs HyperDX: 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.
HyperDX
6.3ANALYTICS
HyperDX now tags every ClickHouse query it runs, so teams can see which dashboard drives the load.
◆ Current state
HyperDX ships as a monorepo of versioned packages (app, api, CLI, common-utils, collector), so one release shows up as several changelog entries. The 2.41.0 wave on October 13 adds PromQL heatmaps, a minimum auto granularity on PromQL sources, and query attribution: every ClickHouse and PromQL query carries an hdx- query_id and a JSON log_comment naming the dashboard, tile, search or alert behind it. The API also stops falling back to a public session secret, and AI assistant calls now emit OpenTelemetry GenAI-convention spans.
◆ Where it's heading
Two threads continue: Grafana-style metrics parity (multi-expression PromQL, macros, granularity floors, now heatmaps) and controlling query cost on ClickHouse (bounded Map-key scans, now per-surface query attribution in system.query_log). Security defaults are being tightened for self-hosted deployments, and HyperDX is applying OpenTelemetry's GenAI conventions to its own AI features. The CLI keeps picking up the web app's chart types.
◆ Prediction
Expect query attribution to show up inside the product, for example per-dashboard cost views or limits, and more PromQL visualization types to catch up with the builder. The entries don't show a timeline for either.
Alternatives to Countly and HyperDX
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 HyperDX.
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.
TimescaleDB
TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.
See all Countly alternatives → · See all HyperDX alternatives →
Recent activity from Countly and HyperDX
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 10d agoHyperDXHyperDX CLI 0.7.0 adds stacked-area charts
- 10d agoHyperDX@hyperdx/[email protected]
- 10d agoHyperDX@hyperdx/[email protected]
- 10d agoHyperDX@hyperdx/[email protected]
- 10d agoHyperDXHyperDX CLI 0.7.0 adds stacked-area charts
- 21d agoHyperDXHyperDX CLI 0.6.4: more precise axis ticks in terminal charts
- 1mo agoCountlyCountly Version 25.03.53-LTS
- 1mo agoCountlyCountly Version 24.05.53
- 2mo agoCountlyCountly Release 25.03.52-LTS (Long term support) ⚡
- 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 HyperDX?
They serve adjacent needs but don't currently overlap on shipped themes. Countly and HyperDX are shipping at a similar cadence (velocity 6.3 vs 6.3, 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 HyperDX?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly and HyperDX are shipping at a similar cadence (velocity 6.3 vs 6.3, 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 for the full list with editorial commentary on each.
What are the best alternatives to HyperDX?
Top HyperDX alternatives in Analytics are ranked by recent ship velocity. Browse the "HyperDX alternatives" section above for the current picks, or visit /alternatives/hyperdx for the full list with editorial commentary on each.