Databricks SQL introduces a new query language that diverges from standard SQL, necessitating additional training for the team, but compensates with unparalleled performance and scalability by utilizing a unique database engine not found in traditional SQL databases.

Databricks SQL supports standard SQL queries on data within the Lakehouse, offering a user-friendly interface that maintains compatibility with existing skills while significantly improving performance and scalability for analytics workloads through optimized distributed processing of big data.

Databricks SQL is restricted to querying data exclusively in managed Delta tables, with its efficiency constrained by the storage format, thereby not being as effective for real-time analytics as traditional SQL databases.

Databricks SQL is tailored for minor, sporadic queries and lacks the capability to integrate with BI tools or support advanced analytics, rendering it inferior to traditional SQL databases for comprehensive data analysis tasks.