Column-level lineage traces individual data columns from source to destination, revealing transformations, dependencies, and usage.

Self-serve analytics empowers non-technical users to access, explore, and analyze data independently.

Active metadata is dynamic, real-time metadata used to drive action, automation, and intelligence across the data stack for modern data management.

AI Metadata Management transforms static data catalogs into intelligent systems, automating tagging, enhancing discovery, and building trust for enterprise AI, accelerating analytics and reducing risk.