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OpenObserve vs Apache Storm

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

OpenObserve vs Apache Storm: at a glance

FeatureOpenObserveApache Storm
SectorAnalyticsAnalytics
Velocity score6.36.3
Sparks · 30d11
Top themesai observability, synthetic monitoring, incident workflows, open sourcestream-processing, modernization, security, scheduler
Last editorial update2d ago2h ago
WebsiteVisit →Visit →

What is OpenObserve?

One release turns a telemetry store into synthetics, workflows, and AI observability.

v0.92.0 landed today after four release candidates, spanning 836 commits across the OSS and enterprise repositories. It adds three surfaces the product did not have — synthetic monitoring with private locations and agents, Workflows v1 tied to incidents, and an expanded AI observability set covering trace and session evaluations, an eval scheduler, organization AI credits, and an agent/service graph. Running alongside it, a 0.91.x maintenance branch has been taking small backported fixes on its own cadence.

Read the full OpenObserve trajectory →

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 →

OpenObserve vs Apache Storm: editorial side-by-side

O
OpenObserve
ANALYTICS
6.3

One release turns a telemetry store into synthetics, workflows, and AI observability.

◆ Current state

v0.92.0 landed today after four release candidates, spanning 836 commits across the OSS and enterprise repositories. It adds three surfaces the product did not have — synthetic monitoring with private locations and agents, Workflows v1 tied to incidents, and an expanded AI observability set covering trace and session evaluations, an eval scheduler, organization AI credits, and an agent/service graph. Running alongside it, a 0.91.x maintenance branch has been taking small backported fixes on its own cadence.

◆ Where it's heading

Scope is moving outward from storing and querying telemetry toward acting on it: alerting gained per-group and per-series rules with SLO measurement, incidents can be ingested from external alert sources, and Workflows connects automation to them. The second axis is observing AI systems rather than merely serving them, with evaluations and an agent graph now first-class. Moving Vortex and the MCP server into open source, the latter on the 2026-07-28 spec with OAuth 2.0 sign-in, points the same platform at agent clients as consumers of its data.

◆ Prediction

Expect a 0.92.x patch train within days — each of the last two GA releases drew several backport-only point releases — concentrated on the newly opened surfaces. The crate modularization noted in the release also makes a period of build and packaging fixes likely.

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.

Alternatives to OpenObserve 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 OpenObserve or Apache Storm.

See all OpenObserve alternatives → · See all Apache Storm alternatives →

Recent activity from OpenObserve and Apache Storm

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

  1. 2d agoOpenObservev0.92.0 adds synthetic monitoring, workflows, and AI observability
  2. 3d agoOpenObserveRelease candidate 4 backports fixes before the v0.92.0 GA
  3. 4d agoOpenObserveRC3 adds agent-level filters and parallel zstd compression
  4. 10d agoOpenObservev0.91.5 patches an RBAC migration and a layout bug
  5. 12d agoOpenObservev0.91.4 fixes memtable rotation and a column migration
  6. 17d agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21
  7. 17d agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
  8. 17d agoApache Storm2.8.8 backports a Kafka topology-lag fix
  9. 18d agoOpenObservev0.91.3 applies anomaly thresholds without a retrain
  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 OpenObserve and Apache Storm?

They serve adjacent needs but don't currently overlap on shipped themes. OpenObserve and Apache Storm are shipping at a similar cadence (velocity 6.3 vs 6.3, 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 OpenObserve better than Apache Storm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenObserve and Apache Storm are shipping at a similar cadence (velocity 6.3 vs 6.3, 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 OpenObserve?

Top OpenObserve alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenObserve alternatives" section above for the current picks, or visit /alternatives/openobserve 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.