The article lays out a classification for how transactional (OLTP), analytical (OLAP), hybrid (HTAP), and LTAP systems relate across systems, workloads, storage tiers, data visibility, and durable copies. It defines five categories—single tier, internal tiering, hybrid (with freshness-by-composition and freshness-by-catchup), materializing, and shared tiering—and explains their trade-offs and example technologies.

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.