I used to use SQL very extensively, but then I moved into different roles, and now I always have to look up its syntax, stuff like "how did HAVING work again?", "how do I search for a date two days before today". With Text-to-SQL I can express my query in natural language. Because I have a very solid understanding of relational data models I can craft my prompt very precisely, but without constantly having to go back to the documentation. So at least for casual users it's very helpful.

Surprised to see these results given how leight-weight DuckDB is. However, I'd argue that "primetime" is not just about speed, but also UX where DuckDB definitely shines.

That’s a fair point—DuckDB’s lightweight design and intuitive UX are big reasons it’s gained traction, especially for analytics on the desktop or in embedded scenarios. But when it comes to “primetime” in the sense of enterprise-grade analytics—think massive concurrency, complex workloads, and scaling across distributed environments— Exasol I see as one of the solution.

DuckDB is fantastic for local analytics and prototyping, but when your needs move into enterprise territory—where performance, reliability, and manageability at scale become critical.