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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 locks down its column-defaults capability flag as default values near completion.
OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.
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
5.0ANALYTICS
OpenHouse locks down its column-defaults capability flag as default values near completion.
◆ Current state
OpenHouse shipped eleven builds (v0.5.529 to v0.5.539) in a week. The substantive work is a pluggable pre-commit check framework inside doCommit, built so column-default rules run on every commit path, and the first wiring of OpenHouseCatalog to the Views service. v0.5.539 makes the required-capability.column-defaults property immutable, and earlier builds added a tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.
◆ Where it's heading
LinkedIn's table catalog is moving business rules into the commit itself, so defaults, property rules and commit policies all reject the same way with clear 400s. Views and column default values are being built in parallel, and both are now past plumbing into user-facing guards. The team favors small, reversible steps.
◆ Prediction
Expect column default values and the Views client API to become usable end to end within the next few builds, with more PreCommitCheck rules registered by the tables service.
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.
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 OpenHouse alternatives → · See all Apache Storm alternatives →
Recent activity from OpenHouse and Apache Storm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoOpenHousev0.5.543: Add integration tests for snapshot expiration with refs (#492)
- 1d agoOpenHousev0.5.542: column-default checks enforced in doCommit
- 1d agoOpenHousev0.5.541: [default values] Gate tables on capabilities the client declares (#848)
- 2d agoOpenHousev0.5.540: Spark integration test for column initial defaults
- 2d agoOpenHousev0.5.539: column-defaults capability property made immutable
- 3d agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
- 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 OpenHouse and Apache Storm?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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 OpenHouse better than Apache Storm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Storm is currently shipping more aggressively (velocity 6.3 vs 5.0), with 0 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 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.