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Apache Druid vs OpenHouse

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

Apache Druid vs OpenHouse: at a glance

FeatureApache DruidOpenHouse
SectorAnalytics, Infra & APIsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesreal-time-analytics, apache-project, quarterly-releases, upgrade-compatibilitydata lakehouse, iceberg, table catalog, views
Last editorial update3mo ago1d ago
WebsiteVisit →Visit →

What is Apache Druid?

Druid ships a large major roughly every quarter and lets the release notes do the talking.

The feed alternates release-candidate tags with the majors they become: 35.0.1 in December, 36.0.0 in February, 37.0.0 in May. The majors are big and diffuse — 37.0.0 counts over 255 changes from 29 contributors, 36.0.0 over 189 from 34 — and are summarised by contributor counts and pointers to upgrade notes rather than headline features. The one patch in the window fixed segment-drop file descriptors leaking until process exit, which is the kind of detail that tells you who runs this: operators with long-lived clusters.

Read the full Apache Druid trajectory →

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.

Read the full OpenHouse trajectory →

Apache Druid vs OpenHouse: editorial side-by-side

Apache Druid logo
Apache Druid
ANALYTICSINFRA · APIS
0.0

Druid ships a large major roughly every quarter and lets the release notes do the talking.

◆ Current state

The feed alternates release-candidate tags with the majors they become: 35.0.1 in December, 36.0.0 in February, 37.0.0 in May. The majors are big and diffuse — 37.0.0 counts over 255 changes from 29 contributors, 36.0.0 over 189 from 34 — and are summarised by contributor counts and pointers to upgrade notes rather than headline features. The one patch in the window fixed segment-drop file descriptors leaking until process exit, which is the kind of detail that tells you who runs this: operators with long-lived clusters.

◆ Where it's heading

This is a mature Apache project on a predictable cadence, where each release aggregates hundreds of contributions instead of pursuing a theme. Every major carries explicit incompatible-changes and upgrade notes, so compatibility management is treated as a first-class part of shipping. Nothing in the feed points toward a directional shift; the signal is steadiness.

◆ Prediction

On this cadence the next major and its release candidate are due within a quarter of 37.0.0, likely with a similar volume of changes. What those changes contain cannot be inferred — the entries deliberately defer detail to the linked notes.

O
OpenHouse
ANALYTICS
5.0

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.

Alternatives to Apache Druid and OpenHouse

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 Druid or OpenHouse.

See all Apache Druid alternatives → · See all OpenHouse alternatives →

Recent activity from Apache Druid and OpenHouse

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

  1. 2d agoOpenHousev0.5.543: Add integration tests for snapshot expiration with refs (#492)
  2. 2d agoOpenHousev0.5.542: column-default checks enforced in doCommit
  3. 2d agoOpenHousev0.5.541: [default values] Gate tables on capabilities the client declares (#848)
  4. 3d agoOpenHousev0.5.540: Spark integration test for column initial defaults
  5. 3d agoOpenHousev0.5.539: column-defaults capability property made immutable
  6. 4d agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
  7. 5mo agoApache DruidDruid 37.0.0
  8. 6mo agoApache Druiddruid-37.0.0-rc1
  9. 8mo agoApache DruidDruid 36.0.0
  10. 8mo agoApache Druiddruid-36.0.0-rc1
  11. 10mo agoApache DruidDruid 35.0.1
  12. 10mo agoApache Druiddruid-35.0.1-rc2

Frequently asked questions

What is the difference between Apache Druid and OpenHouse?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 Apache Druid better than OpenHouse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse is currently shipping more aggressively (velocity 5.0 vs 0.0), 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 Apache Druid?

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

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.