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Comparison · Analytics
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
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.
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.
OpenHouse vs TimescaleDB: editorial side-by-side
OpenHouse
5.0ANALYTICS
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.
TimescaleDB
5.0ANALYTICS
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.
OpenReplay
OpenReplay moves its Go backend to pgx v5 and patches vulnerable deps across 1.25–1.27.
Basedash
Basedash automations can now attach scheduled CSV exports to Slack and email.
OpenPanel
OpenPanel tags three more note-free builds in one evening, reaching 3.16.4.
Fulcrum
Fulcrum turns on Insights, its AI assistant for field data, for every customer.
Holistics
Holistics lets admins put a key dashboard on everyone's Home page.
See all OpenHouse alternatives → · See all TimescaleDB alternatives →
Recent activity from OpenHouse and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoOpenHousev0.5.543: Add integration tests for snapshot expiration with refs (#492)
- 1d agoOpenHousev0.5.542: column-default checks enforced in doCommit
- 1d agoOpenHousev0.5.541: [default values] Gate tables on capabilities the client declares (#848)
- 2d agoOpenHousev0.5.540: Spark integration test for column initial defaults
- 2d agoOpenHousev0.5.539: column-defaults capability property made immutable
- 3d agoOpenHousev0.5.538: Fix Gradle Git hook installation in worktrees (#858)
- 9d agoTimescaleDB2.31.0: faster columnstore DML, adaptive integer compression preview
- 1mo agoTimescaleDB2.30.2: chunk-merge crash fixes and renamed cagg refresh options
- 1mo agoTimescaleDB2.30.1: fixes duplicate rows from the new DeferredChunkAppend
- 1mo agoTimescaleDB2.30.0: last-point LIMIT queries no longer scale with chunk count
- 2mo agoTimescaleDB2.29.2: SkipScan and sparse-index wrong-result fixes
- 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.