Optimizing Multi-Modal Analysis by Lazy Loading Dataframes

This post details the migration of Hex's cell backends to a new DuckDB-based architecture that directly queries Arrow data stored remotely in S3, instead of materializing dataframes into local memory. It introduces the concept of 'LazyDF' objects which defer data loading until needed, and explains the technical implementation using DuckDB, Arrow, and S3. The post quantifies performance improvements (5-10x speedups) and discusses the implications for future development, including the translation of operations into HexQL.