Databricks Senior Staff Product Manager Jonathan Katz said the rise of AI agents is breaking the 40-year-old separation between operational and analytical databases, and introduced LTAP (Lake Transact…
Databricks' Data + AI Summit 2026 introduced LTAP, a unified infrastructure for operational and analytical data built on Lakebase and Unity Catalog, aiming to eliminate CDC pipelines and governance dr…
EnterpriseDB argues that lakehouse architectures are ill-suited for real-time AI agents, advocating instead for operational databases as the foundation for live, governed data. The company criticizes …
Databricks co-founder Reynold Xin explains the limitations of traditional monolithic OLTP databases and introduces Lakebase, a serverless Postgres database that externalizes storage and compute. The a…
Databricks open-sourced Omnigent, an AI agent governance layer, and introduced LTAP, an architecture unifying transactional and analytical workloads on a single copy of data, at its Data + AI Summit 2…
Databricks co-founders Matei Zaharia and Reynold Xin argue that the frontier AI ecosystem must remain open, unveiling Omnigent, an open-source meta-harness for combining and controlling agents across …
Databricks unveiled a set of platform releases at its San Francisco event, including a new Lakehouse architecture called LTAP and a low-latency compute engine named Reyden, targeting building, running…