OpenObserve
OpenObserve ships v1.0.0 GA after a five-RC stabilization run, making its enterprise observability play official.
Comparison · Analytics
Apache Storm vs Holistics
A side-by-side editorial comparison of Apache Storm and Holistics — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Storm vs Holistics: 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 Holistics?
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
Holistics is in an active multi-track build across three distinct areas: AI governance (trace AI-triggered queries, per-user MCP access, data redaction for AI), self-service intelligence (anomaly detection, root-cause analysis), and a UX overhaul (new universal sidebar, dark mode). The pace is 3–5 releases per week with a high proportion of user-visible changes.
Apache Storm vs Holistics: 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.
Holistics
8.8ANALYTICS
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
◆ Current state
Holistics is in an active multi-track build across three distinct areas: AI governance (trace AI-triggered queries, per-user MCP access, data redaction for AI), self-service intelligence (anomaly detection, root-cause analysis), and a UX overhaul (new universal sidebar, dark mode). The pace is 3–5 releases per week with a high proportion of user-visible changes.
◆ Where it's heading
Two directions are clearly compounding. First, AI governance — each release adds a new layer of admin control or observability over how AI agents access data, positioning Holistics for enterprise buyers who need to audit AI behavior in the warehouse. Second, Markdown as data catalog — integrating documentation directly with models and dashboards points toward a data layer where docs live in code rather than a separate UI. The navigation overhaul clears the UX runway for both.
◆ Prediction
Holistics will continue deepening AI observability (attribution, access controls, and data redaction all shipped within weeks suggest a coordinated feature set) and extend the Markdown-as-data-catalog concept toward lineage visualization or schema documentation enforcement.
Alternatives to Apache Storm and Holistics
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 Holistics.
dbt Core
dbt 2.0 ships stable with an official OSS/proprietary split and agentic skill loading
Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
OpenHouse
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Keboola
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
See all Apache Storm alternatives → · See all Holistics alternatives →
Recent activity from Apache Storm and Holistics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoHolisticsUniversal sidebar replaces header-based navigation across the whole app
- 2d agoHolisticsð Trace AI-triggered queries and jobs ⚡
- 2d agoHolisticsDashboard theme follows system light/dark preference
- 6d agoHolisticsCanvas Dashboard requires explicit interaction list; no implicit connections assumed
- 8d agoHolisticsMarkdown docs become first-class objects linked to models, datasets, and dashboards ⚡
- 9d agoHolisticsPer-user MCP access control, separate from in-app AI access
- 1mo agoApache StormStorm 3.0 drops Clojure entirely and moves to Java 21 ⚡
- 1mo agoApache Storm2.8.9 is a dependency sweep with one Flux viewer guard
- 1mo agoApache Storm2.8.8 backports a Kafka topology-lag fix
- 4mo agoApache StormTwo TLS CVEs fixed: JVM-wide downgrade and auth bypass
- 4mo agoApache StormDeserialization RCE and stored XSS in the UI are fixed
- 5mo agoApache Storm2.8.5 is dependency upgrades plus small logging fixes
Frequently asked questions
What is the difference between Apache Storm and Holistics?
They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 8.8 vs 6.3), with 2 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 Holistics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics is currently shipping more aggressively (velocity 8.8 vs 6.3), with 2 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 Holistics?
Top Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics for the full list with editorial commentary on each.