ROOT
ROOT is shipping the pieces of its long-promised v7 inside the v6 release line
Comparison · Analytics
Apache Storm vs ApexCharts
A side-by-side editorial comparison of Apache Storm and ApexCharts — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:performance
Apache Storm vs ApexCharts: 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 ApexCharts?
Three releases in three weeks moved ApexCharts from free library to gated open-core.
ApexCharts is shipping the v6 line at an unusual clip — ten releases since 20 July, spanning a plugin platform, a hybrid SVG/canvas renderer, and two new chart types. The core is still zero-dependency and SVG-first, and every release states that existing configs render unchanged. What is new is a commercial layer: an offline licence check now sits over seven premium modules and one chart type, while the free catalogue keeps expanding alongside it.
Apache Storm vs ApexCharts: 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.
ApexCharts
10.0ANALYTICS
Three releases in three weeks moved ApexCharts from free library to gated open-core.
◆ Current state
ApexCharts is shipping the v6 line at an unusual clip — ten releases since 20 July, spanning a plugin platform, a hybrid SVG/canvas renderer, and two new chart types. The core is still zero-dependency and SVG-first, and every release states that existing configs render unchanged. What is new is a commercial layer: an offline licence check now sits over seven premium modules and one chart type, while the free catalogue keeps expanding alongside it.
◆ Where it's heading
The commercialisation arc tightens one notch per release. 6.5.0 introduced licensing with a watermark and an explicit promise that no chart type would be gated; 6.6.0 gated one; 6.7.0 changed enforcement from accepting any valid key to requiring an entitled plan. Running underneath is a genuine engineering push — incremental updateSeries, canvas cell rendering, a numeric fast path for line and area — that makes the paid layer easier to justify. The pattern is a generous free core with the new authoring and analysis surface behind a key.
◆ Prediction
Expect more premium chart types following `unit`, since the gating machinery and trial-mode watermark are now built and proven. The shared key format across the apex* family suggests entitlement checks propagate to the sibling libraries next.
Alternatives to Apache Storm and ApexCharts
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 ApexCharts.
ThingsBoard
An IoT platform whose release notes have become a CVE ledger
Apache Drill
A SQL-on-anything engine shipping rarely, but each release widens what it can reach
Apache Superset
Superset's tracked feed is a Helm chart tag stream with no notes attached.
Graphite
Graphite's answer to its own CVE backlog is a pre-release nobody calls official.
Cortex
Cortex is betting on Parquet block storage and graduating years of experimental features.
See all Apache Storm alternatives → · See all ApexCharts alternatives →
Recent activity from Apache Storm and ApexCharts
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21h agoApexChartsPer-data-point label offsets land as functions
- 1d agoApexChartsPie and donut slice clicks work again after a 6.7.0 regression
- 8d agoApexChartsSunburst charts arrive; premium features now need an entitled plan ⚡
- 13d agoApexChartsUnit chart is the first premium-gated chart type ⚡
- 18d agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 18d agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 18d agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 20d agoApexChartsLicensing arrives: seven premium modules watermark without a key ⚡
- 20d agoApexChartsHeatmaps get a continuous axis and canvas rendering
- 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 agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
Frequently asked questions
What is the difference between Apache Storm and ApexCharts?
Both compete on the same themes — performance — within Analytics. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 6.3), with 3 editorial sparks in the last 30 days against 1. 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 ApexCharts?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 6.3), with 3 editorial sparks in the last 30 days against 1. 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 ApexCharts?
Top ApexCharts alternatives in Analytics are ranked by recent ship velocity. Browse the "ApexCharts alternatives" section above for the current picks, or visit /alternatives/apexcharts for the full list with editorial commentary on each.