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glystats vs TimescaleDB

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

glystats vs TimescaleDB: at a glance

FeatureglystatsTimescaleDB
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesglycomics, statistics, differential analysis, breaking changestime-series, postgresql, columnstore, query-optimization
Last editorial update2d ago1d ago
WebsiteVisit →Visit →

What is glystats?

glystats keeps deleting analyses it decided belong somewhere else.

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

Read the full glystats 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 →

glystats vs TimescaleDB: editorial side-by-side

G
glystats
ANALYTICS
0.0

glystats keeps deleting analyses it decided belong somewhere else.

◆ Current state

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

◆ Where it's heading

The package is narrowing on purpose. The through-line across removals is a refusal to support two calling conventions or two homes for the same analysis: containers only, no bare matrices; one enrichment implementation, in glyfun. The additive work in the window went to statistical rigor rather than surface area, with effect sizes added to the four main tests, sign bugs fixed, and the log2 pseudo-count reduced.

◆ Prediction

With the interface pruning finished, the next releases are more likely to deepen the tests that remain than to add new analysis families.

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 glystats 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 glystats or TimescaleDB.

See all glystats alternatives → · See all TimescaleDB alternatives →

Recent activity from glystats 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 agoglystatsDocs recommend the new SE containers
  6. 1mo agoglystatsTests recognize both container types consistently
  7. 1mo agoglystatsMatrix interfaces and enrichment functions removed
  8. 1mo agoTimescaleDB2.28.2: upgrade-path fixes for 2.28.1
  9. 1mo agoTimescaleDB2.28.1: compressed-table crash and constraint fixes
  10. 3mo agoglystatsSmaller log2 pseudo-count across DEA and clustering
  11. 3mo agoglystatsWGCNA and clustering dropped, enrichment deprecated
  12. 4mo agoglystatsEffect sizes added and test statistic signs fixed

Frequently asked questions

What is the difference between glystats 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 glystats 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 glystats?

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