AI assistants are now integrated into most modern development environments. However, SQL support is still challenging for most engines. Different databases use varied dialects, and there isn’t enough data to train models properly for every variation. PostgreSQL and MySQL don’t handle string concatenation the same way, and Oracle’s date functions don’t match those in SQL Server. These inconsistencies make it difficult for general-purpose AI tools to generate accurate queries across different databases. In this article, you’ll learn how DBeaver’s AI features help you write SQL faster, troubleshoot errors, and work with unfamiliar code.