A sparse, compressed bitmap index implemented in C.

This submission introduces a C-based sparse, compressed bitmap index, directly challenging established solutions like Roaring Bitmaps. The core value proposition is enhanced storage efficiency and compression, critical for high-performance data systems. This addresses a fundamental developer pain point: optimizing memory footprint and query speed in large datasets. The market implications are significant for database systems, analytics platforms, and any B2B SaaS requiring efficient indexing for massive data volumes. Performance and resource consumption remain key differentiators in infrastructure software. A demonstrably superior indexing mechanism can drive adoption in performance-sensitive applications, potentially disrupting existing component choices within larger SaaS offerings.