AI-Native Databases: Four Innovations That Matter
summary
Argues that a single Oracle AI Database replaces polyglot sprawl by hosting relational, JSON, graph and vectors in one engine, claims transactional consistency when the same data is exposed as both relational and JSON (JSON relational duality), and embeds enforcement so model outputs are grounded in authoritative data and access controls cannot be bypassed. Demonstrations use Oracle features; practical fallback is to use row-level security and stored procedures in PostgreSQL plus auditing when Oracle features aren’t available.
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chapters (7)
- 0:00Introduction
- 0:43AI-native databases essential
- 3:12Three innovations in AI-native DBs
- 6:22Converged database architecture
- 13:49JSON relational duality benefits
- 19:03End-to-end security for AI data
- 26:00Summary
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