A file format claims to be 100x faster than Parquet

Back to Devoured - October 26, 2026

DEVOURED

A file format claims to be 100x faster than Parquet

The Lance file format targets AI workloads by replacing Parquet's scan-oriented architecture with a layout optimized for high-speed random access and point retrieval.

What: Parquet is designed for analytical scans, but AI models frequently require random access to specific embeddings. Lance optimizes this by reducing metadata overhead and enabling direct page access to minimize memory pressure.

Why it matters: AI-driven data access patterns are shifting from batch-oriented analytical processing toward low-latency retrieval of high-dimensional vectors, requiring a transition away from traditional columnar storage formats.

Decoder

Parquet: A common columnar storage format optimized for large-scale analytical queries and data compression in distributed computing environments.

Original article

Parquet's scan-oriented design is showing strain under AI workloads that need fast random access to embeddings and multimodal data. Lance tackles that mismatch with a layout built for direct page access and finer-grained reads, reducing metadata overhead and memory pressure. The broader takeaway is that AI-era storage may need to optimize for point retrieval, not just analytical scans.

Explore all 69 articles in today's digest