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Comparison · Analytics

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-compatibilityiceberg, data-lakehouse, table-metadata, observability
Last editorial update14d ago13h 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?

LinkedIn's Iceberg control plane, shipping one pull request per release.

OpenHouse is LinkedIn's open-source control plane for Iceberg tables, and it releases per merged pull request — version numbers climb several times a week with a single change each. The current work is concentrated on making the service defensible in production: a fix for CREATE OR REPLACE AS SELECT silently wiping table policies, request-ID correlation and a typed exception hierarchy in the data loader, and targeted scheduler logging for jobs observability.

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

LinkedIn's Iceberg control plane, shipping one pull request per release.

◆ Current state

OpenHouse is LinkedIn's open-source control plane for Iceberg tables, and it releases per merged pull request — version numbers climb several times a week with a single change each. The current work is concentrated on making the service defensible in production: a fix for CREATE OR REPLACE AS SELECT silently wiping table policies, request-ID correlation and a typed exception hierarchy in the data loader, and targeted scheduler logging for jobs observability.

◆ Where it's heading

The theme across these releases is treating table metadata as something that must not be lost by accident, and making failures attributable. Policies now merge rather than being rebuilt from the request. Data loader errors carry a request ID and distinguish authentication from transport failure instead of retrying auth errors as transient. Feature toggles gained self-service table overrides so server-side ramps and table-owner opt-in can coexist.

◆ Prediction

The jobs-observability plan explicitly defers OTEL gauges, a heartbeat sampler, and DLQ counters to a later phase, so those are the concrete next steps visible in these entries.

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. 8d agoOpenHouseCREATE OR REPLACE AS SELECT no longer silently drops table policies
  2. 8d agoOpenHouseAutomated iceberg-core dependency bump
  3. 9d agoOpenHouseScheduler log lines for jobs observability, phase 1.5
  4. 11d agoOpenHouseRequest-ID correlation and typed catalog exceptions in the data loader
  5. 11d agoOpenHouseSelf-service table overrides for feature toggles
  6. 12d agoOpenHouseRenovate added to track two parallel Iceberg version lines
  7. 3mo agoApache DruidDruid 37.0.0
  8. 3mo agoApache Druiddruid-37.0.0-rc1
  9. 6mo agoApache DruidDruid 36.0.0
  10. 6mo agoApache Druiddruid-36.0.0-rc1
  11. 7mo agoApache DruidDruid 35.0.1
  12. 8mo 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.