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Apache Storm vs Apache Superset

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

Apache Storm vs Apache Superset: at a glance

FeatureApache StormApache Superset
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d10
Top themesstream-processing, modernization, security, schedulerhelm, packaging, deployment, release-cadence
Last editorial update1d ago5h ago
WebsiteVisit →Visit →

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.

Read the full Apache Storm trajectory →

What is Apache Superset?

Superset's tracked feed is a Helm chart tag stream with no notes attached.

The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.

Read the full Apache Superset trajectory →

Apache Storm vs Apache Superset: editorial side-by-side

A
Apache Storm
ANALYTICS
6.3

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.

A5.0

Superset's tracked feed is a Helm chart tag stream with no notes attached.

◆ Current state

The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.

◆ Where it's heading

Chart releases are arriving roughly weekly, which points to steady packaging maintenance underneath — image bumps, template corrections, values-file changes — rather than a visible product push. Because the feed publishes no notes, the deployment layer is the only Superset surface observable here. Anyone tracking application-level work needs the core repository, not this stream.

◆ Prediction

The cadence supports exactly one confident call: more chart point releases within weeks. The entries carry no content indicating what those bumps will contain.

Alternatives to Apache Storm and Apache Superset

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 Apache Storm or Apache Superset.

See all Apache Storm alternatives → · See all Apache Superset alternatives →

Recent activity from Apache Storm and Apache Superset

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

  1. 10h agoApache Supersetsuperset-helm-chart-0.22.5
  2. 13d agoApache Supersetsuperset-helm-chart-0.22.4
  3. 17d agoApache Supersetsuperset-helm-chart-0.22.3
  4. 18d agoApache Supersetsuperset-helm-chart-0.22.2
  5. 18d agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21
  6. 18d agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
  7. 18d agoApache Storm2.8.8 backports a Kafka topology-lag fix
  8. 19d agoApache Supersetsuperset-helm-chart-0.22.1
  9. 22d agoApache Supersetsuperset-helm-chart-0.22.0
  10. 3mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
  11. 3mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
  12. 4mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes

Frequently asked questions

What is the difference between Apache Storm and Apache Superset?

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 1 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 Apache Storm better than Apache Superset?

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 1 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 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.

What are the best alternatives to Apache Superset?

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