AI database solutions are usually presented as one single idea: type a question in English, get a SQL query back. Text-to-SQL is impressive, but it is only one corner of a much larger space. In real teams, AI can help databases in at least four different ways:
Generation — turning natural language into SQL (text-to-SQL).
Validation — reviewing SQL before it touches the database.
Optimization — suggesting indexes, rewriting slow queries, explaining execution plans.
Governance — enforcing read-only policies, blocking dangerous statements, auditing access.
