Manage Lance Tables in Any Catalog using Lance Namespace and Spark
Access and manage your Lance tables in Hive, Glue, Unity Catalog, or any catalog service using Lance Namespace with the latest Lance Spark connector.
Blog category:
Engineering
All posts
Announcement
Applications
Autonomous Vehicles
Case Study
Community
Engineering
FinTech
Gaming
Newsletter
Columnar File Readers in Depth: Structural Encoding
Deep dive into LanceDB's dual structural encoding approach - mini-block for small data types and full-zip for large multimodal data. Learn how this optimizes compression and random access performance compared to Parquet.
What is the LanceDB Multimodal Lakehouse?
Introducing the Multimodal Lakehouse - a unified platform for managing AI data from raw files to production-ready features, now part of LanceDB Enterprise.
Columnar File Readers in Depth: Repetition & Definition Levels
Explore columnar file readers in depth: repetition & definition levels with practical insights and expert guidance from the LanceDB team.
Columnar File Readers in Depth: Column Shredding
Explore columnar file readers in depth: column shredding with practical insights and expert guidance from the LanceDB team.
Columnar File Readers in Depth: Compression Transparency
Explore columnar file readers in depth: compression transparency with practical insights and expert guidance from the LanceDB team.
A Practical Guide to Training Custom Rerankers
Explore a practical guide to training custom rerankers with practical insights and expert guidance from the LanceDB team.
The Future of Open Source Table Formats: Apache Iceberg and Lance
Explore the future of open source table formats: apache iceberg and lance with practical insights and expert guidance from the LanceDB team.
Lance File 2.1: Smaller and Simpler
Explore lance file 2.1: smaller and simpler with practical insights and expert guidance from the LanceDB team.