pins
pins keeps adding a storage backend per release while retiring its original API
Comparison · Analytics
bigrquery vs broom
A side-by-side editorial comparison of bigrquery and broom — release velocity, themes, recent moves, and the top alternatives to consider.
bigrquery vs broom: at a glance
What is bigrquery?
bigrquery went MIT, then handed its slowest path to the BigQuery Storage API
bigrquery is the R client for Google BigQuery. Version 1.5.0 was the structural release - MIT relicensing, removal of the long-deprecated non-bq_ API, and a move to the second edition of the dbplyr interface with a much fuller DBI implementation. Since then the work has been about the two things that hurt in practice: download throughput and cost visibility.
What is broom?
broom's release calendar is now set by CRAN checks, not by new tidiers.
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
bigrquery vs broom: editorial side-by-side
bigrquery
0.0ANALYTICS
bigrquery went MIT, then handed its slowest path to the BigQuery Storage API
◆ Current state
bigrquery is the R client for Google BigQuery. Version 1.5.0 was the structural release - MIT relicensing, removal of the long-deprecated non-bq_ API, and a move to the second edition of the dbplyr interface with a much fuller DBI implementation. Since then the work has been about the two things that hurt in practice: download throughput and cost visibility.
◆ Where it's heading
The package is settling into being a well-behaved DBI and dbplyr backend rather than a bespoke API wrapper, and offloading its hard parts to specialist packages - clock for date parsing, bigrquerystorage for bulk downloads, gargle for auth. The recent additions read like responses to production use: job labels for cost allocation, microsecond timestamp precision, a configurable quiet option.
◆ Prediction
Expect bigrquerystorage to move from optional to expected for large reads, and further work on upload fidelity, where digits and timezone handling have needed repeated correction.
broom
0.0ANALYTICS
broom's release calendar is now set by CRAN checks, not by new tidiers.
◆ Current state
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
◆ Where it's heading
Carrying hundreds of tidier methods for model classes it does not own, broom's workload is dominated by other projects' breaking changes and CRAN's evolving checks. New tidier coverage has largely migrated to the packages that define the models, leaving broom as a compatibility surface.
◆ Prediction
Expect the cadence to stay reactive, with releases triggered by r-devel check failures and upstream API shifts rather than expanded model coverage.
Alternatives to bigrquery and broom
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 bigrquery or broom.
tsibble
tsibble shipped one release in five and a half years - the data structure is finished
yardstick
yardstick made fairness metrics a first-class part of tidymodels evaluation
tune
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
leaflet
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
ggpubr
ggpubr reached 1.0.0 with p-value formatting presets for specific journals
See all bigrquery alternatives → · See all broom alternatives →
Recent activity from bigrquery and broom
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
- 3mo agobigrqueryJob labels for cost allocation; microsecond upload precision
- 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
- 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
- 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
- 11mo agobigrqueryUses bigrquerystorage automatically for large downloads
- 11mo agobigrqueryDevelopment snapshot advancing 1.4.0 deprecations
- 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
- 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
- 2y agobigrqueryForward compatibility with an upcoming dbplyr release
- 2y agobigrqueryMIT relicensing, dbplyr second edition, full DBI support ⚡
- 3y agobigrquerySyncs with gargle's OAuth client rename
Frequently asked questions
What is the difference between bigrquery and broom?
They serve adjacent needs but don't currently overlap on shipped themes. bigrquery and broom are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is bigrquery better than broom?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bigrquery and broom are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to bigrquery?
Top bigrquery alternatives in Analytics are ranked by recent ship velocity. Browse the "bigrquery alternatives" section above for the current picks, or visit /alternatives/bigrquery for the full list with editorial commentary on each.
What are the best alternatives to broom?
Top broom alternatives in Analytics are ranked by recent ship velocity. Browse the "broom alternatives" section above for the current picks, or visit /alternatives/broom for the full list with editorial commentary on each.