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Countly vs Apache Storm

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

Countly vs Apache Storm: at a glance

FeatureCountlyApache Storm
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themesproduct-analytics, self-hosted, security-patches, access controlstream-processing, security, observability, jvm
Last editorial update14h ago2d ago
WebsiteVisit →Visit →

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 →

What is Apache Storm?

Storm 3.2 fixes three access-control CVEs and ends the 2.x line.

Apache Storm 3.2.0 arrived on 11 November with fixes for three CVEs: the supervisor page revealing other users' topologies, the Logviewer following symlinks past ACLs, and DRPC impersonation bypassing the authorizer. It declares Storm 2.x end of life, removes several deprecated configs and serializers, and adds pluggable tuple tracing with OpenTelemetry, a Prometheus reporter for V2 metrics and opt-in virtual threads on Java 25.

Read the full Apache Storm trajectory →

Countly vs Apache Storm: editorial side-by-side

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.

A
Apache Storm
ANALYTICS
2.5

Storm 3.2 fixes three access-control CVEs and ends the 2.x line.

◆ Current state

Apache Storm 3.2.0 arrived on 11 November with fixes for three CVEs: the supervisor page revealing other users' topologies, the Logviewer following symlinks past ACLs, and DRPC impersonation bypassing the authorizer. It declares Storm 2.x end of life, removes several deprecated configs and serializers, and adds pluggable tuple tracing with OpenTelemetry, a Prometheus reporter for V2 metrics and opt-in virtual threads on Java 25.

◆ Where it's heading

The 3.x line keeps pairing security hardening with removal of legacy code, following 3.0's Clojure removal and 3.1's long hardening list. With 2.x now unsupported and deprecated APIs classified for removal, Storm is narrowing to a modern-JVM codebase with standard observability hooks.

◆ Prediction

Further removals flagged in 3.2, such as the Pacemaker subsystem, are likely in the next minor, alongside more security fixes from outside reporters.

Alternatives to Countly and Apache Storm

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 Apache Storm.

See all Countly alternatives → · See all Apache Storm alternatives →

Recent activity from Countly and Apache Storm

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

  1. 17h agoCountlyCountly 25.03.59: Node 26, MongoDB 9, app scoping fixes
  2. 3d agoApache StormStorm 3.2.0: three CVE fixes, OpenTelemetry tracing, 2.x EOL
  3. 14d agoCountlyCountly 24.05.55: token rules backported, Node 22 move
  4. 17d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
  5. 19d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
  6. 21d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
  7. 1mo agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
  8. 2mo agoApache StormStorm 3.1.0 adds an Iceberg sink and security hardening
  9. 3mo agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
  10. 3mo agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
  11. 3mo agoApache Storm2.8.8 backports a Kafka topology-lag fix
  12. 6mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass

Frequently asked questions

What is the difference between Countly and Apache Storm?

They serve adjacent needs but don't currently overlap on shipped themes. Countly is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Apache Storm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Countly is currently shipping more aggressively (velocity 5.0 vs 2.5), 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-server for the full list with editorial commentary on each.

What are the best alternatives to Apache Storm?

Top Apache Storm alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Storm alternatives" section above for the current picks, or visit /alternatives/storm for the full list with editorial commentary on each.