Dewey Dunnington

The Python and R bindings for SedonaDB were purpose-built to accelerate performance-critical spatial analyses or scale existing analyses alongside existing free and open source tools.

Learn how analytical databases make the most of your laptop to make existing workflows faster and larger workflows possible using SedonaDB, a database built for spatial from the ground up.

Whereas Parquet has long been used to store spatial data, Apache Parquet’s latest format release includes dedicated data types for Geometry and Geography allowing general-purpose engines to expand their spatial capabilities and spatial applications to more deeply integrate with the Parquet format. The first release of the GeoParquet standard in 2023 introduced a metadata convention and was widely

nanoarrow, a newly developed subproject of Apache Arrow, is squarely focused on unlocking connectivity among Python packages and the libraries they wrap using the features and rich type support of the Arrow columnar format. The vision of nanoarrow is that it should be trivial for a library to implement an Arrow-based interface: nanoarrow and its bindings provide tools to produce, consume, and...

The ‘arrow’ R package and wider Apache Arrow ecosystem provide an end-to- end solution for querying and computing on in-memory and bigger-than-memory data sets using the Apache Arrow C++ library.