Databricks introduced Lakehouse//RT—powered by the new Reyden engine—to deliver millisecond analytics directly on Delta Lake, removing the need for separate serving databases. The summit also revealed LTAP, which merges OLTP and OLAP on a single data copy, and Lakebase, a PostgreSQL-compatible engine, signaling a push to unify transactional, analytical, and real-time workloads.

• Lakehouse//RT (via the Reyden engine) claims 10–100ms query latency and ~12,000 QPS directly on Delta Lake, aiming to eliminate separate serving databases like ClickHouse or Pinot.
• LTAP merges OLTP and OLAP on a single data copy, and Lakebase adds a Postgres-compatible engine, pushing toward unifying transactional and analytical workloads.
• Most of the new AI-agent tools (Genie Ontology, ZeroOps, Omnigent, Unity AI Gateway) are dismissed as undifferentiated experiments, with Databricks' real edge seen in core infrastructure, not agent frameworks.
• The bigger bet is architectural: killing data copies, sync pipelines, and duplicated security rules rather than just raw speed gains.