OpenObserve
OpenObserve ships v1.0.0 GA after a five-RC stabilization run, making its enterprise observability play official.
Comparison · Analytics
OpenHouse vs Apache Storm
A side-by-side editorial comparison of OpenHouse and Apache Storm — release velocity, themes, recent moves, and the top alternatives to consider.
OpenHouse vs Apache Storm: at a glance
What is OpenHouse?
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
OpenHouse (LinkedIn's managed Iceberg tables service) is shipping at a rapid v0.5.x pace with multiple improvements per week. Recent work spans three areas: storage lifecycle management (native snapshot expiration with reference age defaults, orphan file reclamation), authorization hardening (routing RTAS operations through proper table privilege checks), and the first scaffolding for Iceberg view support (entityType discriminator, table-scoped HTS queries).
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.
OpenHouse vs Apache Storm: editorial side-by-side
OpenHouse
6.3ANALYTICS
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
◆ Current state
OpenHouse (LinkedIn's managed Iceberg tables service) is shipping at a rapid v0.5.x pace with multiple improvements per week. Recent work spans three areas: storage lifecycle management (native snapshot expiration with reference age defaults, orphan file reclamation), authorization hardening (routing RTAS operations through proper table privilege checks), and the first scaffolding for Iceberg view support (entityType discriminator, table-scoped HTS queries).
◆ Where it's heading
The entityType discriminator in v0.5.490 is the most directional move in this window — it creates the data model prerequisite for treating views as first-class entities alongside tables, something OpenHouse has not supported. Storage lifecycle work is converging on Iceberg-native mechanisms, reducing custom expiration logic. The post-commit operations framework in v0.5.492 is infrastructure that will allow OpenHouse to add downstream hooks (compaction triggers, notifications) without catalog coupling.
◆ Prediction
Iceberg view read support will arrive in the next several releases, building on the discriminator and HTS scaffolding now in place. The authorization model for views will be an open question — watch whether they reuse the table ACL path or introduce a parallel model.
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 OpenHouse 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 OpenHouse or Apache Storm.
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
Holistics
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
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 OpenHouse alternatives → · See all Apache Storm alternatives →
Recent activity from OpenHouse and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 17h agoOpenHousev0.5.492: Add a generic bounded post commit operations framework (#729)
- 5d agoOpenHousev0.5.491
- 5d agoOpenHousev0.5.490: Add entityType discriminator and table-scoped HTS queries (#696) ⚡
- 7d agoOpenHousev0.5.489: Backfill history.expire.max-ref-age-ms with Snapshot Expiration (#708)
- 11d agoOpenHousev0.5.488: [RTAS] Use table privileges for replacement (#711)
- 12d agoOpenHousev0.5.487
- 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 OpenHouse and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse 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 OpenHouse better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse 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 OpenHouse?
Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse 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.