Ingest data in Lance, leveraging its columnar layout for AI/ML workloads. • High-Performance Random Access: Fast point lookups and efficient selective reads for real-time ML inference and training. Applications • Real-time AI Data Lakes • Real-time Feature Stores
to Apache Iceberg tables - Analytics Ready • ETL-Free • Improved Data Freshness & Solves the Iceberg Updates Problem • Bring your own storage • Unified Data Locality via Partitioning • Union Reads • Automated Maintenance
Raw Data to AI/ML Insights • Minimal Learning Curve • PyArrow Integration • Pandas/Polars DataFrame Support • DuckDB SQL Support • AI/ML Ecosystem Compatibility