Databricks introduced Lakehouse//RT at Data + AI Summit, claiming superior performance for analytic serving workloads directly on lakehouse data without copying. Snowflake and ClickHouse disputed the demo results, with ClickHouse publishing detailed methodology showing 420 QPS on a single node and Snowflake questioning Databricks' configuration, while StarTree demonstrated Apache Pinot can also query external lakehouse tables at scale.