silx
silx settles into maintenance a release after its PySide6 migration
Comparison · Analytics
jmastats vs TimescaleDB
A side-by-side editorial comparison of jmastats and TimescaleDB — release velocity, themes, recent moves, and the top alternatives to consider.
jmastats vs TimescaleDB: at a glance
What is jmastats?
A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.
jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.
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.
jmastats vs TimescaleDB: editorial side-by-side
jmastats
0.0ANALYTICS
A Japan Meteorological Agency client whose real product is keeping its bundled datasets current.
◆ Current state
jmastats pulls weather and climate data from the Japan Meteorological Agency into R, and most of its releases exist to refresh the station and reference datasets it ships. Three of the four versions on record are dataset updates, dated by the month they were cut. The exception is 0.3.0, which taught jma_collect() to retrieve climatological normals derived from past observations.
◆ Where it's heading
The package treats bundled data as the thing that must not go stale, and the retrieval API as broadly finished. Where code does change, it is about being a well-behaved client — request intervals to reduce server load, messages when returned data contains missing values, corrected station coordinates. Capability growth happens in single steps, roughly once a year.
◆ Prediction
The next release is most likely another dated dataset refresh; a further extension of jma_collect() to a new observation type is plausible but the entries show no specific one being prepared.
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 jmastats 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 jmastats or TimescaleDB.
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.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
OpenCTI
OpenCTI spends a release unblocking queues and hardening upserts
See all jmastats alternatives → · See all TimescaleDB alternatives →
Recent activity from jmastats and TimescaleDB
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoTimescaleDB2.29.2: SkipScan and sparse-index correctness fixes
- 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 agoTimescaleDB2.28.2: upgrade-path fixes for 2.28.1
- 1mo agoTimescaleDB2.28.1: compressed-table crash and constraint fixes
- 1y agojmastatsjma_collect() can now retrieve climatological normals
- 2y agojmastatsStation coordinates and prefecture codes corrected
- 2y agojmastatsBundled datasets refreshed to March 2024
- 2y agojmastatsFirst CRAN release adds request throttling to jma_collect()
Frequently asked questions
What is the difference between jmastats 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 jmastats 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 jmastats?
Top jmastats alternatives in Analytics are ranked by recent ship velocity. Browse the "jmastats alternatives" section above for the current picks, or visit /alternatives/jmastats 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.