pins
pins keeps adding a storage backend per release while retiring its original API
Comparison · Analytics
haven vs sparklyr
A side-by-side editorial comparison of haven and sparklyr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:maintenance
haven vs sparklyr: at a glance
What is haven?
haven's release cadence has narrowed to compiler and R-devel upkeep.
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
What is sparklyr?
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
haven vs sparklyr: editorial side-by-side
haven
0.0ANALYTICS
haven's release cadence has narrowed to compiler and R-devel upkeep.
◆ Current state
haven is the tidyverse's bridge to SPSS, Stata and SAS files, wrapping the C ReadStat library. The last several releases are almost entirely maintenance: syncing vendored ReadStat and patching ahead of R-devel changes. The most recent substantive user-facing work landed in 2.5.2 and earlier.
◆ Where it's heading
Development has shifted from extending the file-format surface to keeping a C dependency compiling against newer toolchains. The deprecation of write_sas() narrowed that surface deliberately, steering users to write_xpt() because the sas7bdat format is undocumented and unsupported upstream.
◆ Prediction
Expect further ReadStat sync releases triggered by compiler or R-devel breakage rather than new format support or writing features.
sparklyr
0.0ANALYTICS
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
◆ Current state
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
◆ Where it's heading
Two dependencies set the agenda. dbplyr repeatedly changes identifier quoting and lazy-table internals, and each change costs sparklyr a release. Meanwhile the package is being hollowed into a backend: ml_fit(), spark_apply(), spark_write_delta() and now tune_grid_spark() exist as methods so that pysparklyr, the Databricks Connect path, can override them. Dependency removal - tibble, rappdirs, digest - runs alongside as the package slims down.
◆ Prediction
Expect the next releases to continue tracking dbplyr and Spark versions, and more functions to be converted to methods as functionality shifts toward pysparklyr; new capability arriving in sparklyr itself looks unlikely.
Alternatives to haven and sparklyr
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 haven or sparklyr.
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 haven alternatives → · See all sparklyr alternatives →
Recent activity from haven and sparklyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agosparklyrRestores compatibility after dbplyr changed Hive quoting
- 3mo agosparklyrAdds tune_grid_spark() for pysparklyr to implement
- 10mo agosparklyrFixes lazy-table field lookup and a name collision
- 1y agosparklyrCatches up with released Spark 4.0; ml_load() reads via Spark
- 1y agohavenhaven 2.5.5 syncs ReadStat for stricter gcc diagnostics
- 2y agosparklyrDatabricks autoloader streaming ingestion; R 4.4 fixes
- 2y agosparklyrDrops tibble and rappdirs; retires Spark 2.3 JARs
- 2y agohavenhaven 2.5.4 patches for an upcoming R-devel change
- 3y agohavenhaven 2.5.3 patches for an upcoming R-devel change
- 3y agohavenhaven 2.5.2 fixes SAS catalog reads and deprecates write_sas()
- 3y agohavenhaven 2.5.1 aligns labelled headers and fixes name repair
- 4y agohavenhaven 2.5.0 adds custom variable widths when writing files
Frequently asked questions
What is the difference between haven and sparklyr?
Both compete on the same themes — maintenance — within Analytics. haven and sparklyr 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 haven better than sparklyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haven and sparklyr 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 haven?
Top haven alternatives in Analytics are ranked by recent ship velocity. Browse the "haven alternatives" section above for the current picks, or visit /alternatives/haven for the full list with editorial commentary on each.
What are the best alternatives to sparklyr?
Top sparklyr alternatives in Analytics are ranked by recent ship velocity. Browse the "sparklyr alternatives" section above for the current picks, or visit /alternatives/sparklyr for the full list with editorial commentary on each.