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dbplyr vs leaflet

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

dbplyr vs leaflet: at a glance

Featuredbplyrleaflet
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessql, dplyr, database-backends, breaking-changesmapping, geospatial, sf-migration, licensing
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is dbplyr?

dbplyr ends its two-year backend migration by dropping 1st edition support outright

dbplyr translates dplyr code into SQL, and 2.6.0 closes a migration that has been running since 2023: first-edition backends no longer work at all. The same release converts a long list of soft deprecations into hard failures and removes functions deprecated as far back as 2019. The releases before it were translation-quality work across SQL Server, Redshift, Snowflake, Postgres, Spark and Teradata.

Read the full dbplyr trajectory →

What is leaflet?

leaflet relicensed to MIT and finished migrating off R's retired spatial stack

leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.

Read the full leaflet trajectory →

dbplyr vs leaflet: editorial side-by-side

D
dbplyr
ANALYTICS
0.0

dbplyr ends its two-year backend migration by dropping 1st edition support outright

◆ Current state

dbplyr translates dplyr code into SQL, and 2.6.0 closes a migration that has been running since 2023: first-edition backends no longer work at all. The same release converts a long list of soft deprecations into hard failures and removes functions deprecated as far back as 2019. The releases before it were translation-quality work across SQL Server, Redshift, Snowflake, Postgres, Spark and Teradata.

◆ Where it's heading

The package is trading compatibility surface for a smaller, more consistent core it can actually evolve — qualified table names were overhauled in 2.5.0, sql() and ident() were refactored internally, and the cte argument gave way to a single sql_options() entry point. Backend breadth keeps growing at the translation level even as the extension API narrows.

◆ Prediction

With the edition split finally gone, expect the next cycle to spend its budget on dialect translations and the newer Spark/Databricks path rather than on further deprecation.

L
leaflet
ANALYTICS
0.0

leaflet relicensed to MIT and finished migrating off R's retired spatial stack

◆ Current state

leaflet is the R binding for the Leaflet mapping library. Its recent releases are dominated by one long migration: away from sp, rgdal, rgeos and raster, and toward sf and terra. Version 2.2.3 completed the user-facing half of that - sp is no longer installed by default, and bundled datasets ship as sf objects - while also relicensing the package from GPL-2 to MIT.

◆ Where it's heading

This is a package being brought into line with an ecosystem that changed underneath it. The retirement of rgdal and rgeos forced the terra and sf work; the license change and dependency reductions are the maintainers taking the opportunity to clean up while they are already in there. Feature work, such as the full viridisLite palette set, arrives as a side effect of the tidying.

◆ Prediction

With the sp path now opt-in and the retired geospatial dependencies gone, expect the remaining work to be small: palette and provider-tile handling, and keeping the bundled JavaScript current.

Alternatives to dbplyr and leaflet

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 dbplyr or leaflet.

See all dbplyr alternatives → · See all leaflet alternatives →

Recent activity from dbplyr and leaflet

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agodbplyr1st edition backends removed; a wave of deprecations goes defunct
  2. 11mo agodbplyrDate and aggregate translation fixes across six SQL dialects
  3. 11mo agoleafletMIT relicensing and sp dropped from default installs
  4. 2y agodbplyrQualified table names overhauled; I() becomes the simple path
  5. 2y agoleafletterra CRS handling fixed; raster images accept layer options
  6. 2y agoleafletProvider tile dependency is cacheable by knitr again
  7. 2y agodbplyrPreliminary Databricks Spark SQL backend; join fixes
  8. 2y agodbplyrdbplyr 2.3.4
  9. 2y agoleafletAdds terra support and removes rgdal and rgeos
  10. 3y agoleafletUpdates proj4.js and fixes examples to stay on CRAN
  11. 3y agodbplyrdbplyr 2.3.3

Frequently asked questions

What is the difference between dbplyr and leaflet?

They serve adjacent needs but don't currently overlap on shipped themes. dbplyr and leaflet 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 dbplyr better than leaflet?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbplyr and leaflet 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 dbplyr?

Top dbplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dbplyr alternatives" section above for the current picks, or visit /alternatives/dbplyr for the full list with editorial commentary on each.

What are the best alternatives to leaflet?

Top leaflet alternatives in Analytics are ranked by recent ship velocity. Browse the "leaflet alternatives" section above for the current picks, or visit /alternatives/leaflet-r for the full list with editorial commentary on each.