← Back to home
Comparison · Analytics

TimescaleDB vs OpenHouse

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

TimescaleDB vs OpenHouse: at a glance

FeatureTimescaleDBOpenHouse
SectorAnalyticsAnalytics
Velocity score5.05.0
Sparks · 30d00
Top themestime-series, columnstore, compression, postgresdata lakehouse, iceberg, data retention, governance
Last editorial update19h ago13h ago
WebsiteVisit →Visit →

What is TimescaleDB?

TimescaleDB 2.32 turns on its new integer compressor and drops superuser needs.

TimescaleDB ships on a steady cadence where most releases are columnstore, SkipScan and continuous aggregate fixes. 2.31.0 vectorized UPDATE and DELETE on compressed data and previewed an Adaptive Integer Compressor. 2.32.0 turns that compressor on by default, speeds continuous aggregate refreshes, and arrives with a larger than usual batch of security fixes: background workers, the scheduler and telemetry now run as the database owner rather than as superuser.

Read the full TimescaleDB trajectory →

What is OpenHouse?

OpenHouse adds time-zone-aware retention and per-database table caps.

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

Read the full OpenHouse trajectory →

TimescaleDB vs OpenHouse: editorial side-by-side

T
TimescaleDB
ANALYTICS
5.0

TimescaleDB 2.32 turns on its new integer compressor and drops superuser needs.

◆ Current state

TimescaleDB ships on a steady cadence where most releases are columnstore, SkipScan and continuous aggregate fixes. 2.31.0 vectorized UPDATE and DELETE on compressed data and previewed an Adaptive Integer Compressor. 2.32.0 turns that compressor on by default, speeds continuous aggregate refreshes, and arrives with a larger than usual batch of security fixes: background workers, the scheduler and telemetry now run as the database owner rather than as superuser.

◆ Where it's heading

Feature releases keep cutting the cost of running large hypertables, while 2.32 adds a second thread: running safely without superuser rights. That matters most for managed and multi-tenant Postgres setups where superuser is not available.

◆ Prediction

Expect quick 2.32.x patches for the new compressor and the owner-based worker model, as happened after 2.30's planner change; the release already points users to 2.32.1 before upgrading Postgres.

O
OpenHouse
ANALYTICS
5.0

OpenHouse adds time-zone-aware retention and per-database table caps.

◆ Current state

OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.

◆ Where it's heading

OpenHouse is adding the controls a shared lakehouse needs at scale: quotas, audit trails and retention that matches business calendars. Views are getting the same governance tables already had.

◆ Prediction

Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.

Alternatives to TimescaleDB 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 TimescaleDB or OpenHouse.

See all TimescaleDB alternatives → · See all OpenHouse alternatives →

Recent activity from TimescaleDB and OpenHouse

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

  1. 14h agoOpenHouseRetention policies on string date columns accept a time zone
  2. 16h agoOpenHouseOpenHouse adds an optional per-database table count limit
  3. 18h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
  4. 1d agoOpenHouseFix view REPLACE property validation
  5. 1d agoOpenHouseOpenHouse audits view requests and operations in full
  6. 1d agoTimescaleDB2.32.0: integer compression on by default, owner-run workers
  7. 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
  8. 24d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
  9. 1mo agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
  10. 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
  11. 2mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
  12. 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes

Frequently asked questions

What is the difference between TimescaleDB and OpenHouse?

They serve adjacent needs but don't currently overlap on shipped themes. TimescaleDB and OpenHouse 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 TimescaleDB better than OpenHouse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. TimescaleDB and OpenHouse 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 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.

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.