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OpenHouse vs TimescaleDB

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

OpenHouse vs TimescaleDB: at a glance

FeatureOpenHouseTimescaleDB
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themesdata lakehouse, iceberg, table catalog, viewstime-series, columnstore, compression, query-planner
Last editorial update1h ago5d ago
WebsiteVisit →Visit →

What is OpenHouse?

OpenHouse lays commit-time rule plumbing for column defaults and wires its catalog to Views.

OpenHouse shipped ten builds (v0.5.529 to v0.5.538) in six days. 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. Around that are a lightweight tableExists endpoint, opt-in Spark SQL ALTER TABLE ... UNLOCK, and validation that blocks RTAS combined with WAP or replication.

Read the full OpenHouse trajectory →

What is TimescaleDB?

TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.

TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.

Read the full TimescaleDB trajectory →

OpenHouse vs TimescaleDB: editorial side-by-side

O
OpenHouse
ANALYTICS
5.0

OpenHouse lays commit-time rule plumbing for column defaults and wires its catalog to Views.

◆ Current state

OpenHouse shipped ten builds (v0.5.529 to v0.5.538) in six days. 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. Around that are a lightweight 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 default values are the two features being built in parallel. The recent revert of the catalog-first replication change suggests the team now prefers 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.

T
TimescaleDB
ANALYTICS
5.0

TimescaleDB 2.31 speeds columnstore UPDATE/DELETE and previews a new integer compressor.

◆ Current state

TimescaleDB ships on a steady biweekly cadence where most releases are bug-fix patches for the columnstore, SkipScan and continuous aggregates. Feature releases have chipped at the cost of big hypertables: 2.30.0 made last-point LIMIT queries independent of chunk count, and 2.31.0 vectorizes UPDATE and DELETE on compressed data, adds non-blocking move_to_columnstore(), and previews an Adaptive Integer Compressor claiming up to 20% better integer compression. The 2.30.x patches fixed duplicate rows and crashes from the previous release's new planner node.

◆ Where it's heading

The columnstore is being made a place where data can be changed, not just queried: chunk-level locking for DML in 2.29, vectorized DML and non-blocking compression in 2.31. Granular continuous-aggregate refresh is maturing alongside with APIs, views and refresh statistics. Each minor release is still followed by correctness patches.

◆ Prediction

2.32.0 will enable the Adaptive Integer Compressor by default, as the 2.31 notes state. Expect a couple of 2.31.x patches for the new DML and compression paths first.

Alternatives to OpenHouse and TimescaleDB

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 TimescaleDB.

See all OpenHouse alternatives → · See all TimescaleDB alternatives →

Recent activity from OpenHouse and TimescaleDB

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

  1. 16h agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
  2. 2d agoOpenHousev0.5.537: Throw a catalog exception from doCommit's table property rules (#837)
  3. 2d agoOpenHouseOpenHouse v0.5.536 wires the catalog to the Views service
  4. 2d agoOpenHouseOpenHouse v0.5.535 pins publishing to JDK 17
  5. 3d agoOpenHousev0.5.534: [default values] Add pluggable pre-commit checks to doCommit (#831)
  6. 3d agoOpenHouseOpenHouse v0.5.533 sends catalog properties as headers
  7. 5d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
  8. 26d agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
  9. 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
  10. 1mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
  11. 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
  12. 2mo agoTimescaleDB2.29.1: security fixes for compressed-data handling

Frequently asked questions

What is the difference between OpenHouse and TimescaleDB?

They serve adjacent needs but don't currently overlap on shipped themes. OpenHouse and TimescaleDB are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 TimescaleDB?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OpenHouse and TimescaleDB are shipping at a similar cadence (velocity 5.0 vs 5.0, 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 TimescaleDB?

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