tiledb: Sparse and Dense Multidimensional Array Storage Engine for Data
Science
The data science storage engine 'TileDB' introduces a
powerful on-disk format for multi-dimensional arrays. It supports
dense and sparse arrays, dataframes and key-values stores, cloud
storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression,
encryption and checksum filters, uses a fully multi-threaded
implementation, supports parallel I/O, data versioning ('time
travel'), metadata and groups. It is implemented as an embeddable
cross-platform C++ library with APIs from several languages, and
integrations.
Version: |
0.8.2 |
Imports: |
methods, Rcpp, nanotime |
LinkingTo: |
Rcpp |
Suggests: |
tinytest, rmarkdown, knitr, BiocStyle, curl, bit64 |
Published: |
2020-10-16 |
Author: |
TileDB, Inc. |
Maintainer: |
Dirk Eddelbuettel <dirk at tiledb.com> |
BugReports: |
https://github.com/TileDB-Inc/TileDB-R/issues |
License: |
MIT + file LICENSE |
Copyright: |
TileDB, Inc. |
URL: |
https://github.com/TileDB-Inc/TileDB-R |
NeedsCompilation: |
yes |
SystemRequirements: |
cmake (only when TileDB source build selected), git
(only when TileDB source build selected); on x86_64 platforms
pre-built TileDB Embedded libraries are available at GitHub and
are used if no TileDB installation is detected, and no other
option to build or download was specified by by the user. |
Materials: |
README NEWS |
CRAN checks: |
tiledb results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tiledb
to link to this page.