If you rely on SQL coding, now is the perfect time to reconsider your SQL management tools. We compared Azure Data Studio vs dbForge SQL Complete to see which solution truly speeds up your workflow.

With the right SQL code completion tools, you can become 2–4 times more productive in your daily coding, according to client success stories. Context-sensitive suggestions, advanced formatting, and productivity boosters help streamline repetitive tasks, letting you focus on the things that matter most.

Here’s a quick snapshot of the comparison:

- Code completion: dbForge SQL Complete provides context-sensitive suggestions, JOIN auto-generation, phrase completion, table alias auto-generation, and much more — while Azure Data Studio’s autocomplete is basic and often misses context.

- Efficiency: Automated handling of stored procedures, complex queries, and T-SQL statements makes coding faster and reduces errors.

- Customization: dbForge lets you tailor autocomplete, snippets, and formatting to your workflow — Azure Data Studio is limited here.

- Integration: dbForge works seamlessly with multiple databases — from the all-in-one IDE, dbForge Studio, to the dbForge SQL Tools suite, which fully integrates with SSMS and Visual Studio, while Azure Data Studio focuses mostly on query editing and visualization.

Choosing the right SQL management tools can make a huge difference in productivity and code quality. Whether you’re a developer or a database administrator, upgrading your tools ensures smarter workflows, better code completion, and smooth integration with your existing databases.