SQL has limitations as it is built on relational concepts and relies on binary joins. The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables. Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in documents, messages, whiteboards, and various applications. For data analysis, SQL's slicing and dicing capabilities excel, but for detailed processing and graph-type operations, SQL databases fall short. Dynamic environments may benefit from alternatives to SQL.