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cholera vs TimescaleDB

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

cholera vs TimescaleDB: at a glance

FeaturecholeraTimescaleDB
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themeshistorical-epidemiology, geospatial, r-package, reproducible-researchtime-series, postgresql, columnstore, query-optimization
Last editorial update3d ago1d ago
WebsiteVisit →Visit →

What is cholera?

John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.

cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.

Read the full cholera trajectory →

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.

Read the full TimescaleDB trajectory →

cholera vs TimescaleDB: editorial side-by-side

C
cholera
ANALYTICS
0.0

John Snow's 1854 cholera map is being rebuilt on real geographic coordinates.

◆ Current state

cholera packages the Broad Street cholera outbreak data with tools to recompute pump neighbourhoods by Voronoi and walking distance. The last two releases carried the dataset from Snow's original plate coordinates onto georeferenced longitude and latitude, exposed through a latlong = TRUE argument on most functions. Function naming and plotting APIs are being tidied at the same pace.

◆ Where it's heading

The direction is clear and sustained: convert a historical, self-referential coordinate system into one that interoperates with modern GIS. Each release extends latlong coverage to more datasets — pumps, roads, landmarks, and now the plague pit and map frame — while archiving the older prototypes. Parallelisation and the walking-distance solver were reworked along the way to keep the heavier computations usable.

◆ Prediction

Remaining non-georeferenced pieces and the archived latlong prototypes are the obvious next targets, alongside continued consolidation of the add*()/plot*() function pairs.

T
TimescaleDB
ANALYTICS
5.0

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 cholera 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 cholera or TimescaleDB.

See all cholera alternatives → · See all TimescaleDB alternatives →

Recent activity from cholera and TimescaleDB

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

  1. 1d agoTimescaleDB2.29.2: SkipScan and sparse-index correctness fixes
  2. 15d agoTimescaleDB2.29.1: security fixes plus compression bugfixes
  3. 19d agoTimescaleDB2.29.0: chunk exclusion speeds up UPDATE and DELETE
  4. 1mo agoTimescaleDB2.28.3: columnar pipeline correctness fixes
  5. 1mo agoTimescaleDB2.28.2: upgrade-path fixes for 2.28.1
  6. 1mo agoTimescaleDB2.28.1: compressed-table crash and constraint fixes
  7. 1y agocholeraGeoreferences the plague pit and road segments
  8. 1y agocholeraLongitude and latitude support across nearly all data and functions
  9. 3y agocholeraFirst longitude/latitude prototypes and new distance functions
  10. 4y agocholeraAdds streetNames(); fixes Delaunay and pump-token plotting
  11. 5y agocholeraIsochrone helpers, weather data and Voronoi location options
  12. 6y agocholeraParallel computation support on Windows

Frequently asked questions

What is the difference between cholera and TimescaleDB?

They serve adjacent needs but don't currently overlap on shipped themes. TimescaleDB 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 cholera 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 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 cholera?

Top cholera alternatives in Analytics are ranked by recent ship velocity. Browse the "cholera alternatives" section above for the current picks, or visit /alternatives/cholera-r 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.