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HyperDX vs Countly

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

HyperDX vs Countly: at a glance

FeatureHyperDXCountly
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesobservability, clickhouse, opentelemetry, mcpproduct-analytics, self-hosted, security-patches, access control
Last editorial update2d ago14h ago
WebsiteVisit →Visit →

What is HyperDX?

HyperDX's CLI connects AI coding agents to your logs with one command.

HyperDX 2.44, published under the ClickStack name, adds `hdx mcp install`, which checks an API key with hidden input and registers the ClickStack MCP server in Claude Code, Codex, Cursor and VS Code. The release also adds team-owned API keys that survive their creator leaving, conditional ad hoc dashboard filters, a working Denoise option, and collector seeds with session ID columns and ZSTD(3) compression. The app's own telemetry moved to the ClickStack SDKs and stable OpenTelemetry semantic conventions.

Read the full HyperDX trajectory →

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.

Read the full Countly trajectory →

HyperDX vs Countly: editorial side-by-side

H
HyperDX
ANALYTICS
5.0

HyperDX's CLI connects AI coding agents to your logs with one command.

◆ Current state

HyperDX 2.44, published under the ClickStack name, adds `hdx mcp install`, which checks an API key with hidden input and registers the ClickStack MCP server in Claude Code, Codex, Cursor and VS Code. The release also adds team-owned API keys that survive their creator leaving, conditional ad hoc dashboard filters, a working Denoise option, and collector seeds with session ID columns and ZSTD(3) compression. The app's own telemetry moved to the ClickStack SDKs and stable OpenTelemetry semantic conventions.

◆ Where it's heading

HyperDX is folding into the ClickStack brand and making AI agents a first-class consumer of its data, with key setup moving from copied snippets to a CLI flow. Session replay and OpenTelemetry alignment, started in 2.43, continue at the schema level.

◆ Prediction

Expect the remaining HyperDX package and repository names to switch to ClickStack, following the moved GitHub links, image name and SDKs in this release.

C
Countly
ANALYTICS
5.0

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.

Alternatives to HyperDX and Countly

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 HyperDX or Countly.

See all HyperDX alternatives → · See all Countly alternatives →

Recent activity from HyperDX and Countly

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

  1. 16h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
  2. 2d agoHyperDX@hyperdx/cli v0.9.0
  3. 2d agoHyperDXCollector 2.44: session ID columns, ZSTD(3), cached CORS preflights
  4. 2d agoHyperDXApp 2.44: conditional dashboard filters, ClickStack self-telemetry
  5. 2d agoHyperDXcommon-utils 0.34: team-owned API keys and a working Denoise
  6. 2d agoHyperDX@hyperdx/cli 0.9.0 package release
  7. 2d agoHyperDXAPI 2.44: self-telemetry moves to ClickStack SDKs
  8. 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
  9. 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
  10. 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
  11. 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
  12. 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names

Frequently asked questions

What is the difference between HyperDX and Countly?

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

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

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.