dbForge 2025.1 is a major release focused on enhancing productivity and the quality of code produced using the Studio. This update brings the integrated dbForge AI Assistant, refreshed UI/UX, an expanded T-SQL Analyzer rule set, and new connectivity for Azure Synapse Analytics (dedicated and serverless SQL pools).
With this release, we introduce a built-in AI assistant to improve your coding experience — helping you work faster, write cleaner SQL, and stay in flow from draft to deploy, all without leaving the Studio.
Capabilities
Context-aware SQL generation — dbForge AI Assistant generates queries based on your schema metadata after you attach a database.
Conversion of natural language to SQL — The Assistant converts plain-text prompts into SQL statements (with or without schema context).
Query optimization — AI suggests performance improvements (better join strategies, predicate tuning, index usage, etc.).
SQL explanations — You can ask dbForge AI Assistant to explain SQL statements and clauses and receive instant, plain-language explanations.
SQL troubleshooting — The Assistant quickly identifies syntax and dialect issues and suggests fixes.
AI Chat — Use AI Chat to ask about SQL, databases, and dbForge features without leaving the IDE.
We refreshed visuals across the board so code stands out, errors are easier to spot, and getting to your next task takes fewer clicks.
You can adjust the environment to your preferences in Tools > Options > Environment > Fonts and Colors.
We have also refined font rendering and the coloring of syntax errors to improve your experience and speed up issue detection.
And finally, on the Start Page, we have added Brief View to switch from the display of the full path to recent files to a more compact list.

T-SQL Analyzer now includes more rules for flexible reviews across style, best practices, and performance.
You can configure the behavior of T-SQL Analyzer in Tools > Options > Code Analysis > Profiles.

We’ve added support for Azure Synapse Analytics — including both dedicated and serverless SQL pools — so you can connect, browse objects, write and run queries, and use editor features (formatting, code completion, analysis) directly in the IDE.