Databricks Unifies Data for Faster AI Agents

Databricks has introduced two new products, Lakehouse//RT and LTAP, designed to eliminate data pipeline latency and complexity, which have historically hindered AI agent performance. Lakehouse//RT offers millisecond query latency directly on governed data tables, removing the need for separate real-time serving tiers. LTAP integrates transactional data directly into Delta and Iceberg formats at the point of write, bypassing traditional ETL processes. This unification aims to provide AI agents with seamless access to live and historical data, enabling faster reasoning and action. Analysts view the agentic framing and open format approach as key differentiators, though the system's latency and reliability will face scrutiny.