The Next Era of the Open Lakehouse: Apache Iceberg™ v3 in Public Preview on Databricks

Databricks releases Apache Iceberg v3 in Public Preview, introducing Row Lineage, Deletion Vectors, and VARIANT.

• •Row Lineage assigns permanent row IDs to identify changed rows without full table scans
• •Deletion Vectors track deleted rows without rewriting Parquet files, up to 10x faster than copy-on-write
• •VARIANT type stores semi-structured data natively in Iceberg tables, queryable via SQL without schema enforcement or ETL
• •UniForm allows Delta Lake tables to be read as Iceberg by Snowflake, BigQuery, Redshift, and Athena

This summary was automatically generated by AI based on the original article and may not be fully accurate.