🚀 New Blosc blog post: one selective query, 24.3M taxi trips, five tools.
⚡ Cold cache: CTable/.b2z beats DuckDB by ~1.9x (and pandas by 9.4x)
🎯 Block-level indexes prune ~90% of the data — never read, never decompressed
🤝 Warm cache: dead heat with DuckDB
💾 All for just a 2% storage premium over Parquet
🐍 Results are NumPy arrays, no conversion tax
Fully reproducible benchmark inside:
https://blosc.org/posts/ctable-b2z-queries/








