Reynold Xin

Cofounder and Chief Architect, Databricks

Search every verified Reynold Xin interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Reynold Xin, cofounder and chief architect at Databricks, has been discussing the company's recent product announcements and his views on the future of data infrastructure. At the Data + AI Summit in June 2026, Xin introduced Lakehouse//RT, a real-time analytics engine powered by a new compute engine called Reyden. He demonstrated Reyden executing 8,000 queries at 6,000 queries per second with a tail latency of 37 milliseconds, and said that "none of existing systems can do this." Xin also described Lakebase branching, a copy-on-write clone of an entire database that he said can be created in under a second and costs roughly a penny before being thrown away. He argued that traditional databases "inhibit innovation" because they are slow and expensive to provision, and that infrastructure should enable "rapid experimentation at scale cheaply." Xin has also discussed the impact of AI agents on database architecture. He stated that "agents are becoming the actual primary persona" for database usage, and that "99% of psycho value engineers these days don't write code manually and don't provision the database manually." He described Databricks' work on LTAP (lake transactional and analytical processing), which aims to unify transactional and analytical databases, and Omnigent, an open-source meta-harness for combining different coding agents. Xin said that "many of the traditional software will be sort of rewritten with this new paradigm, which is just get the data to be there and then let's slap some AGI on top."