← Back to home
Comparison · Analytics

geodist vs TimescaleDB

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

geodist vs TimescaleDB: at a glance

FeaturegeodistTimescaleDB
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesgeospatial, distance-calculation, zero-dependency, c-codetime-series, postgresql, columnstore, query-optimization
Last editorial update3d ago1d ago
WebsiteVisit →Visit →

What is geodist?

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

Read the full geodist 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 →

geodist vs TimescaleDB: editorial side-by-side

G
geodist
ANALYTICS
0.0

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

◆ Current state

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

◆ Where it's heading

Development has been about making the speed-accuracy trade visible rather than hiding it. The 0.0.6 release added messages telling users to pick a different measure once the default cheap approximation is applied beyond 100km, where its error stops being negligible. Around that, the work is input handling — tibble support, better lon/lat column matching, vector inputs — and hardening the C code. It is a package that treats being small and correct as the feature.

◆ Prediction

Expect continued low-frequency maintenance: compiler warnings and geodesic source updates account for three of the last six releases, and the function surface has grown by only two entries in five years.

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 geodist 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 geodist or TimescaleDB.

See all geodist alternatives → · See all TimescaleDB alternatives →

Recent activity from geodist 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 agogeodistgeodist 0.1.1 clears a clang warning in geodesic.c
  8. 2y agogeodistgeodist 0.1.0 adds geodist_min() for nearest matches
  9. 3y agogeodistgeodist 0.0.8 updates geodesic source, fixes clang warnings
  10. 5y agogeodistgeodist 0.0.7 improves lon/lat column matching and tibbles
  11. 5y agogeodistgeodist 0.0.6 warns when cheap distances exceed 100km
  12. 6y agogeodistgeodist 0.0.4 adds geodist_vec() for vector inputs

Frequently asked questions

What is the difference between geodist 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 geodist 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 geodist?

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