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OpenHouse vs Apache SkyWalking

A side-by-side editorial comparison of OpenHouse and Apache SkyWalking — release velocity, themes, recent moves, and the top alternatives to consider.

OpenHouse vs Apache SkyWalking: at a glance

FeatureOpenHouseApache SkyWalking
SectorAnalyticsAnalytics
Velocity score6.33.8
Sparks · 30d11
Top themesiceberg, data-lakehouse, linkedin, open-sourceobservability, apm, banyandb, architecture-split
Last editorial update14h ago19d ago
WebsiteVisit →Visit →

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).

Read the full OpenHouse trajectory →

What is Apache SkyWalking?

SkyWalking 11.0 cuts the UI out of the backend and hands it to a separate project.

Apache SkyWalking is an open-source APM and observability platform, and its recent releases have been a sustained rebuild of its own foundations. BanyanDB, its purpose-built storage engine, replaced H2 outright and was then declared large-scale ready. The Groovy DSL runtime was ripped out for an ANTLR4 and Javassist pipeline with fail-fast compilation. GenAI observability arrived as a new telemetry domain. Version 11.0.0 now removes the bundled UI from the OAP release entirely, adds TLS with certificate hot-reload across every HTTP surface, and introduces a queryAlarms GraphQL API alongside runtime rule hot-update and a live DSL debugger.

Read the full Apache SkyWalking trajectory →

OpenHouse vs Apache SkyWalking: editorial side-by-side

O
OpenHouse
ANALYTICS
6.3

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.

A3.8

SkyWalking 11.0 cuts the UI out of the backend and hands it to a separate project.

◆ Current state

Apache SkyWalking is an open-source APM and observability platform, and its recent releases have been a sustained rebuild of its own foundations. BanyanDB, its purpose-built storage engine, replaced H2 outright and was then declared large-scale ready. The Groovy DSL runtime was ripped out for an ANTLR4 and Javassist pipeline with fail-fast compilation. GenAI observability arrived as a new telemetry domain. Version 11.0.0 now removes the bundled UI from the OAP release entirely, adds TLS with certificate hot-reload across every HTTP surface, and introduces a queryAlarms GraphQL API alongside runtime rule hot-update and a live DSL debugger.

◆ Where it's heading

The consistent method is subtraction: remove the convenient default, absorb the dependency into something the project controls, then optimise it. H2 went so BanyanDB could be the only answer. Groovy went so the DSL could be compiled and type-checked. Now the UI goes so the backend can release on its own cadence. Each removal costs operators a migration and buys the project a surface it fully owns. The security and operations work in 11.0.0 — TLS everywhere, cert rotation without restart, alarm querying by entity and layer — reads as the same platform being made deployable in environments that audit these things.

◆ Prediction

With the UI decoupled and released independently, the version coupling operators previously relied on is gone; expect the project to publish compatibility guidance or a supported-version matrix between OAP and Horizon UI, since the release notes acknowledge there is no 1:1 mapping.

Alternatives to OpenHouse and Apache SkyWalking

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 SkyWalking.

See all OpenHouse alternatives → · See all Apache SkyWalking alternatives →

Recent activity from OpenHouse and Apache SkyWalking

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 15h agoOpenHousev0.5.492: Add a generic bounded post commit operations framework (#729)
  2. 5d agoOpenHousev0.5.491
  3. 5d agoOpenHousev0.5.490: Add entityType discriminator and table-scoped HTS queries (#696)
  4. 7d agoOpenHousev0.5.489: Backfill history.expire.max-ref-age-ms with Snapshot Expiration (#708)
  5. 11d agoOpenHousev0.5.488: [RTAS] Use table privileges for replacement (#711)
  6. 12d agoOpenHousev0.5.487
  7. 19d agoApache SkyWalking11.0.0 - Horizon Ready, Runtime Rule Hot-Update and Live DSL Debugger
  8. 5mo agoApache SkyWalking10.4.0 - GenAI Observability, Groovy-Free Runtime and Grafana Tempo Compatible
  9. 8mo agoApache SkyWalking10.3.0 - New Trace Model in BanyanDB
  10. 1y agoApache SkyWalking10.2.0 - No H2, More BanyanDB

Frequently asked questions

What is the difference between OpenHouse and Apache SkyWalking?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 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 OpenHouse better than Apache SkyWalking?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 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 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 SkyWalking?

Top Apache SkyWalking alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache SkyWalking alternatives" section above for the current picks, or visit /alternatives/skywalking for the full list with editorial commentary on each.