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Comparison · Analytics
Apache Storm vs NetObserv
A side-by-side editorial comparison of Apache Storm and NetObserv — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Storm vs NetObserv: at a glance
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.
What is NetObserv?
NetObserv is layering TLS visibility and health alerting on top of its eBPF flow pipeline.
NetObserv ships roughly monthly as a coordinated bundle — operator, eBPF agent, flowlogs-pipeline and console plugin move together in each release. The functional work over these six releases splits three ways: a TLS visibility feature that arrived as a knob in 1.11.3 and has been extended with metrics and alerts since, a Network Health layer built on Prometheus recording rules rather than alerts alone, and steady hardening of the agent-to-pipeline path (mTLS, hot-reload filters, packet translation and sampling fixes). Prometheus is now on by default.
Apache Storm vs NetObserv: editorial side-by-side
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.
NetObserv
2.5ANALYTICS
NetObserv is layering TLS visibility and health alerting on top of its eBPF flow pipeline.
◆ Current state
NetObserv ships roughly monthly as a coordinated bundle — operator, eBPF agent, flowlogs-pipeline and console plugin move together in each release. The functional work over these six releases splits three ways: a TLS visibility feature that arrived as a knob in 1.11.3 and has been extended with metrics and alerts since, a Network Health layer built on Prometheus recording rules rather than alerts alone, and steady hardening of the agent-to-pipeline path (mTLS, hot-reload filters, packet translation and sampling fixes). Prometheus is now on by default.
◆ Where it's heading
The project is moving from flow collection toward opinionated health signalling — recording rules, runbook links in alerts, ingress 5xx and latency templates, health metadata driving console plugin config. That is the shape of a tool trying to answer 'is the network healthy' rather than only 'what traffic occurred'. In parallel, supply-chain and workflow security is getting real attention: SBOM generation and artifact signing, SHA-pinned GitHub Actions, pwn-request workflow checks and a pprof exposure fix all landed in the last two releases. The operator was also renamed from network-observability-operator to netobserv-operator.
◆ Prediction
Expect the TLS thread to keep extending — the sequence so far is fields, then metrics, then alerts, so dashboards and health rules built on TLS data are the natural next step. Continued investment in the Network Health rule set is the other safe bet, since it is where the last three releases have concentrated their non-dependency commits.
Alternatives to Apache Storm and NetObserv
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 NetObserv.
Cortex
Cortex is betting on Parquet block storage and graduating years of experimental features.
Apache StreamPark
Five release candidates in two years, none of them stable, and none since October 2025.
Apache HertzBeat
A monitoring project whose public release feed skips the release that mattered.
Axiom
Axiom is rebuilding observability so an AI agent, not a human, can be the first user.
RStudio
The AI assistant is now something the IDE has to clean up after.
See all Apache Storm alternatives → · See all NetObserv alternatives →
Recent activity from Apache Storm and NetObserv
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17d agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 17d agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 17d agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 19d agoNetObserv1.12.0 adds TLS alerting, flp-informers and signed releases
- 1mo agoNetObserv1.11.5 adds TLS metrics, Kafka compression and drop events
- 3mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 3mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
- 4mo agoNetObservTLS tracking arrives as a feature knob with new TLS fields ⚡
- 4mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
- 5mo agoNetObserv1.11.2 adds a pause control and TLS/mTLS hardening
- 5mo agoNetObserv1.11.1 is documentation, Snyk config and dependency updates
- 6mo agoNetObserv1.11.0 builds out Network Health rules and hot-reload filters
Frequently asked questions
What is the difference between Apache Storm and NetObserv?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 2.5), 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 NetObserv?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 2.5), 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 NetObserv?
Top NetObserv alternatives in Analytics are ranked by recent ship velocity. Browse the "NetObserv alternatives" section above for the current picks, or visit /alternatives/netobserv for the full list with editorial commentary on each.