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Comparison · Analytics
Citus vs TimescaleDB
A side-by-side editorial comparison of Citus and TimescaleDB — release velocity, themes, recent moves, and the top alternatives to consider.
Citus vs TimescaleDB: at a glance
What is Citus?
Citus is in maintenance mode across four branches, with the feature work invisible from the feed.
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
What is TimescaleDB?
TimescaleDB is paying down correctness debt in its columnstore query paths.
The 2.29 line is in patch mode after 2.29.0 landed chunk exclusion for DML in late July. 2.29.1 carried three security advisories alongside compression fixes, and 2.29.2 is bug fixes only - most of them wrong-results bugs in the columnar execution paths rather than crashes. Every release note in this window recommends upgrading at the next opportunity.
Citus vs TimescaleDB: editorial side-by-side
Citus
2.5ANALYTICS
Citus is in maintenance mode across four branches, with the feature work invisible from the feed.
◆ Current state
Citus is the Postgres extension that shards tables across a cluster, and its release feed right now is almost entirely branch upkeep. Four lines are live at once — 12.1, 13.3, 14.0 and 14.1 — and the recent tags are backports and CI fixes moving between them, authored by a small handful of maintainers. The last release with user-facing feature text is Citus 14.0 in February, which added PostgreSQL 18.1 support and pointed at a blog post rather than listing what changed.
◆ Where it's heading
The shape here is a mature extension keeping several supported branches alive rather than pushing new capability. Correctness is the live concern: the 12.1 patches fix wrong query results, an EXPLAIN segfault, a standby coordinator crash and a deadlock, all backported from work done on newer branches. Note that the release notes are thin by design — 13.3 and 14.1 list only PR titles for backports and test plumbing, so the feed understates whatever is landing on the main line.
◆ Prediction
More 12.1 patch tags are the safe expectation while that branch stays supported. Whether the 14.x line picks up new distributed-query features is not visible from these entries — the notes only cover backports, so the main-branch work would have to be read elsewhere.
TimescaleDB
5.0ANALYTICS
TimescaleDB is paying down correctness debt in its columnstore query paths.
◆ Current state
The 2.29 line is in patch mode after 2.29.0 landed chunk exclusion for DML in late July. 2.29.1 carried three security advisories alongside compression fixes, and 2.29.2 is bug fixes only - most of them wrong-results bugs in the columnar execution paths rather than crashes. Every release note in this window recommends upgrading at the next opportunity.
◆ Where it's heading
The feature work of 2.27 and 2.28 - vectorized filter evaluation, first/last derived straight from columnstore batch metadata, sparse indexes, SkipScan on compressed data - has been followed by a steady stream of fixes to those same code paths. 2.29.2 alone repairs SkipScan dropping uncompressed rows, sparse-index pushdown returning wrong results for IS NULL, and gapfill over window aggregates. That is the normal cost of pushing query optimizations into a compressed columnar store, and the project is working through it release by release rather than pausing.
◆ Prediction
With three consecutive patch releases on the 2.29 line and no new highlighted features since 2.29.0, the next minor is likely to resume the columnstore performance work - though the density of wrong-results fixes suggests more patches first.
Alternatives to Citus 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 Citus or TimescaleDB.
Omni
Omni ships weekly, and almost every week the headline item is an AI feature.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
See all Citus alternatives → · See all TimescaleDB alternatives →
Recent activity from Citus and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoTimescaleDB2.29.2: SkipScan and sparse-index correctness fixes
- 13d agoCitus12.1.14 fixes wrong results, an EXPLAIN segfault and a standby crash
- 15d agoTimescaleDB2.29.1: security fixes plus compression bugfixes
- 19d agoTimescaleDB2.29.0: chunk exclusion speeds up UPDATE and DELETE
- 1mo agoTimescaleDB2.28.3: columnar pipeline correctness fixes
- 1mo agoCitusCitus 14.1 ships as a backport and CI maintenance release
- 1mo agoCitus12.1.13 fixes a deadlock, crashes and internal UDF ownership
- 1mo agoCitusCitus 13.3 lands as a backport-only release on the 13.x line
- 1mo agoTimescaleDB2.28.2: upgrade-path fixes for 2.28.1
- 1mo agoTimescaleDB2.28.1: compressed-table crash and constraint fixes
- 6mo agoCitusCitus 14.0 adds PostgreSQL 18.1 support
Frequently asked questions
What is the difference between Citus and TimescaleDB?
They serve adjacent needs but don't currently overlap on shipped themes. TimescaleDB is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Citus better than TimescaleDB?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. TimescaleDB is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Citus?
Top Citus alternatives in Analytics are ranked by recent ship velocity. Browse the "Citus alternatives" section above for the current picks, or visit /alternatives/citus 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.