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Comparison · Analytics
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
What is Countly?
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
What is Apache Storm?
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
Storm is running two lines: a 2.8.x maintenance branch that is mostly Dependabot traffic punctuated by real security releases, and the new 3.0.0 line cut on 22 July. 3.0.0 removes all remaining Clojure from the codebase, raises the baseline to Java 21 (with master already on 25), and ships throughput work — zstd compression for thrift cluster state, tuple compression between workers, and decoupling of the control plane from the data plane on receive queues. The 2.8.6 and 2.8.7 releases earlier in the window carried four CVEs, including a deserialization RCE reachable by any user with topology submission rights.
Countly vs Apache Storm: editorial side-by-side
Countly
5.0ANALYTICS
Countly 25.03.58 tightens API tokens, sessions and login lockouts in one security patch.
◆ Current state
Countly 25.03.58 is a security-heavy patch for the 25.03 line. App-restricted tokens must now declare their permissions, password changes and member lockouts revoke tokens, single-use tokens and reset links work once even under concurrency, and login failures count per account regardless of username casing. It also tightens access to dashboards, dbviewer and exports, and fixes file migration, remote-config targeting and star-rating widgets.
◆ Where it's heading
The 25.03 LTS line keeps absorbing security work at a fast clip: an upstream Node CVE, certificate distrust, and now a sweep of Countly's own token and permission model. Feature work stays in enterprise licensing and journeys, while LTS releases mostly harden what exists.
◆ Prediction
Expect a matching 24.05 backport of the token and permission fixes. Token owners may also need migration guidance, since existing app-restricted tokens without permissions are now limited to their owner's rights.
Apache Storm
6.3ANALYTICS
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
◆ Current state
Storm is running two lines: a 2.8.x maintenance branch that is mostly Dependabot traffic punctuated by real security releases, and the new 3.0.0 line cut on 22 July. 3.0.0 removes all remaining Clojure from the codebase, raises the baseline to Java 21 (with master already on 25), and ships throughput work — zstd compression for thrift cluster state, tuple compression between workers, and decoupling of the control plane from the data plane on receive queues. The 2.8.6 and 2.8.7 releases earlier in the window carried four CVEs, including a deserialization RCE reachable by any user with topology submission rights.
◆ Where it's heading
The project is converting itself from a legacy JVM codebase into an ordinary modern Java one, and the 3.0 work shows where that energy goes next: scheduling and queueing. Recent PRs add AIMD dynamic batch sizing to JCQueue, jitter metrics and a jitter-aware stream grouping, round-robin rebalance onto returning supervisors, and several fixes for stale or orphaned worker heartbeats. Alongside that, the distribution is being slimmed — optional Hadoop and Kafka dependencies were unbundled and shared jars de-duplicated. The 2.x branch is being kept alive for security and dependency currency, not for features.
◆ Prediction
Expect 3.0.x point releases to concentrate on the scheduler and worker-lifecycle fixes that 3.0.0 opened up, and expect the 2.8.x line to keep receiving CVE backports while feature work stays on 3.x. The Java 25 baseline already on master suggests the next minor will move the floor again.
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.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
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.
- 1d agoCountlyCountly 25.03.58: token scoping, revocation and access fixes
- 3d agoCountlyCountly 25.03.57-LTS distrusts emSign roots, fixes A/B setup
- 6d agoCountlyCountly 25.03.56-LTS: Node CVE patch, licence overdue banner
- 17d agoCountlyCountly 25.03.55: throttled active-user refresh, explicit DB names
- 29d agoCountly24.05.54: data-manager merge and logging fixes
- 1mo agoCountly25.03.54: License v2 entitlements and journey charts
- 3mo agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 3mo agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 3mo agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 6mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 6mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
- 7mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
Frequently asked questions
What is the difference between Countly and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm 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 Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Storm 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-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.