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Comparison · Analytics
Lightdash vs Apache Storm
A side-by-side editorial comparison of Lightdash and Apache Storm — release velocity, themes, recent moves, and the top alternatives to consider.
Lightdash vs Apache Storm: at a glance
| Feature | Lightdash | Apache Storm |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 1 | 0 |
| Top themes | business intelligence, semantic layer, ai agents, mcp | stream-processing, modernization, security, scheduler |
| Last editorial update | 3d ago | 2mo ago |
| Website | — | Visit → |
What is Lightdash?
Lightdash opens AI-built chart types to every cloud user, through the app or MCP.
Lightdash is an open-source BI layer that is turning its semantic layer into a workspace for AI agents. Chart Studio, where users describe a chart and Lightdash builds a reusable project-level chart type, is now available to all cloud users, including from Claude through the Lightdash MCP. It follows agent skills, which let teams save parameterized analysis procedures.
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.
Lightdash vs Apache Storm: editorial side-by-side
Lightdash
6.3ANALYTICS
Lightdash opens AI-built chart types to every cloud user, through the app or MCP.
◆ Current state
Lightdash is an open-source BI layer that is turning its semantic layer into a workspace for AI agents. Chart Studio, where users describe a chart and Lightdash builds a reusable project-level chart type, is now available to all cloud users, including from Claude through the Lightdash MCP. It follows agent skills, which let teams save parameterized analysis procedures.
◆ Where it's heading
Lightdash is moving AI from answering questions to extending the product itself: custom chart types, reusable agent skills, and native YAML that removes dbt as a prerequisite. Governance features such as verified content give teams a way to trust what the agents produce.
◆ Prediction
Expect more agent features exposed through MCP, so external assistants can create and govern Lightdash content, and a shared library for Chart Studio chart types.
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 Lightdash 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 Lightdash 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 Lightdash alternatives → · See all Apache Storm alternatives →
Recent activity from Lightdash and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7d agoLightdash🧩 Chart Studio, now available for all cloud users
- 23d agoLightdash🎓 Teach your AI agents reusable skills ⚡
- 1mo agoLightdash🪆 Explore nested and repeated columns
- 1mo agoLightdash✅ Promote, own, and find verified content
- 1mo agoLightdash🔌 Test your warehouse connection before you save it
- 1mo agoLightdash💬 A comments panel for your dashboards
- 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 Lightdash and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. Lightdash 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 Lightdash better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Lightdash 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 Lightdash?
Top Lightdash alternatives in Analytics are ranked by recent ship velocity. Browse the "Lightdash alternatives" section above for the current picks, or visit /alternatives/lightdash 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.