Catalog, lineage, and lifecycle for every dataset.
A unified metadata layer that automatically discovers, classifies, and tracks every dataset across your environment — providing answers to where data came from, who can access it, and how it has changed.
Automatic Lineage
Column-level lineage captured by the engine itself — no manual annotation, no broken links, always current with your pipelines.
Smart Classification
ML-driven discovery tags PII, regulated data, and business-critical assets the moment they enter the platform.
Lifecycle Policies
Define retention, archival, and purge rules once — they propagate to every storage tier and replica automatically.
Know your data. Trust your data.
When every analyst, engineer, and AI agent works from the same catalog, decisions stop being a guessing game. Data Management is the foundation that makes governance, sharing, and compliance possible at scale.
Reference architecture for the metadata layer: schema, APIs, lineage capture, and classification policies.
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