As modern data and analytics workloads have shifted from SQL to general-purpose programming languages such as Python, the amount of floating point data has grown massively. It is a problem for modern database systems to effectively compress this data without loss of precision, while preserving desirable traits such as random access and auto-vectorization.
In 2023, Afroozeh et al. published ALP, a response to these issues. The code was written in C++ and integrated into DuckDB. To ease the integration into other tools, we present a Rust implementation of both variants of ALP (ALP and ALP for "real doubles").