IDE

PostgreSQL performance tuning and schema synchronization can be time-consuming and complex, often involving manual queries, EXPLAIN plans, and schema drift. The release of dbForge Studio for PostgreSQL 2026.1 introduces AI-assisted query optimization, a visual query builder, improved schema comparison and synchronization, and a visual table editor. The AI Assistant analyzes database indexes and suggests query optimizations, providing specific recommendations rather than generic advice. The new Query Builder allows users to visually assemble queries, simplifying the process of creating multi-table joins. The Schema Compare feature enables users to compare and synchronize schemas visually, reducing the risk of errors associated with manual synchronization. The visual Table Editor facilitates table design and maintenance, automatically identifying indexes and offering auto-completion for index names. The transition from traditional methods to these new capabilities enhances efficiency, allowing developers to save time on query writing, tuning, and schema changes. The integration of AI and visual tools streamlines workflows and reduces guesswork in performance tuning and schema management.