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modeldata vs TimescaleDB

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

modeldata vs TimescaleDB: at a glance

FeaturemodeldataTimescaleDB
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themestidymodels, example-data, simulation, teaching-datatime-series, postgresql, columnstore, query-optimization
Last editorial update5d ago1d ago
WebsiteVisit →Visit →

What is modeldata?

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

Read the full modeldata 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 →

modeldata vs TimescaleDB: editorial side-by-side

M
modeldata
ANALYTICS
0.0

The tidymodels example-data package grows one dataset at a time, on nobody's schedule

◆ Current state

modeldata exists to supply the datasets and simulation functions that tidymodels documentation, tests, and teaching material depend on. Releases arrive roughly once or twice a year and consist almost entirely of new data sets plus occasional simulation methods. The most recent work adds a Worley (1987) regression simulation and moves the package off the magrittr pipe onto base R's.

◆ Where it's heading

Two lines run through the history: broadening coverage of task types — ordinal classification, multinomial, regression, QSAR-style chemistry data — and building out synthetic simulation so tutorials can demonstrate a method without shipping a real dataset for it. The simulation side has grown from a single regression generator into a family with logistic and multinomial variants and a keep_truth option that exposes the error-free outcome. Infrastructure changes appear only when the wider tidyverse moves, as the base-pipe transition shows.

◆ Prediction

The pattern points to another simulation method or a dataset filling a task type the collection still lacks, rather than any change in what the package does.

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 modeldata 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 modeldata or TimescaleDB.

See all modeldata alternatives → · See all TimescaleDB alternatives →

Recent activity from modeldata 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. 0y agomodeldatamodeldata 1.5.1 fixes documentation and column-name typos
  8. 1y agomodeldatamodeldata 1.5.0 adds a Worley (1987) regression simulation
  9. 2y agomodeldatamodeldata 1.4.0 adds the cat_adoption data set
  10. 2y agomodeldatamodeldata 1.3.0 adds the deliveries data set
  11. 3y agomodeldatamodeldata 1.2.0 adds eight data sets across regression and classification
  12. 3y agomodeldatamodeldata 1.1.0 adds logistic and multinomial simulation plus keep_truth

Frequently asked questions

What is the difference between modeldata 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 modeldata 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 modeldata?

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