Columnar Query Engine for Larger-than-RAM Data R package vectra version 0.11.8 A minimal columnar query engine with lazy execution on datasets larger than RAM. Provides 'dplyr'-like verbs (filter(), select(), mutate(), group_by(), summarise(), joins, window functions) and common aggregations (n(), sum(), mean(), min(), max(), sd(), first(), last()) backed by a pure C11 pull-based execution engine and a custom on-disk format ('.vtr'). Reads and writes 'GeoTIFF' (including tiled and 'BigTIFF' layouts) and a tiled raster format ('.vec') with overview pyramids and time cubes for larger-than-RAM raster data. Streams vector operations (spatial transforms, point-in-polygon and nearest-feature joins including a two-sided grid-partitioned join, select-by-location, clip, erase, dissolve, 'rasterization', 'polygonization', and contouring) through 'sf', and runs raster operations (zonal statistics, focal windows, terrain derivatives, resample or 'reproject' warp, polygon masking, map algebra, and 'mosaicking') in native C or over the tiled '.vec' format, one batch or tile at a time for data larger than RAM. Software Depends: R (>= 4.1.0) Imports: tidyselect, rlang, libgeos, parallel LinkingTo: libgeos Suggests: biglm, Biostrings, bit64, DBI, GenomicRanges, igraph, IRanges, knitr, openxlsx2, rmarkdown, RSQLite, S4Vectors, sf, ShortRead, stringdist, terra, testthat (>= 3.0.0) Gilles Colling <gilles.colling051@gmail.com> Comprehensive R Archive Network (CRAN) Gilles Colling [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-3070-6066>) MIT + file LICENSE (https://CRAN.R-project.org/package=vectra/LICENSE) 2026-07-31 application/tgz https://CRAN.R-project.org/package=vectra doi:10.32614/CRAN.package.vectra