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Manage the full PostgreSQL database lifecycle from one AI-powered IDE. dbForge Studio for PostgreSQL brings together database design, development, and administration, as well as data management, analysis, reporting, and extensive automation. Additionally, the integrated AI Assistant generates, explains, optimizes, and troubleshoots SQL queries directly in the Studio. It supports on-premises PostgreSQL databases and related cloud services such as Supabase, Heroku, Amazon Redshift, and TimescaleDB.

PostgreSQL database development involves much more than writing and executing queries. Developers build applications, DBAs maintain database performance and reliability, analysts turn raw data into insights, and DevOps teams automate database delivery through CI/CD pipelines. In this video, you will see how dbForge Studio for PostgreSQL brings database development, management, data analysis, reporting, and automation into a single AI-powered PostgreSQL IDE.

SQL Server development involves much more than writing and executing queries. There are other core aspects such as database design, debugging, data management, performance analysis, administration, deployment, and workflow automation. In this video, you will see how dbForge Studio for SQL Server lets you manage the entire database lifecycle from a single AI-powered SQL Server IDE. Instead of switching between separate tools for SQL coding, database design, test data generation, comparison, reporting, and administration, you can use one application for everything.

Optimize MySQL queries faster with Query Profiler in dbForge Studio for MySQL. See how to monitor query execution plans , track resource consumption , identify SQL performance bottlenecks , and find possible improvements for slow MySQL queries.

Learn how to optimize SQL queries in MySQL with Query Profiler in dbForge Studio for MySQL. This video shows how to monitor query execution plans , track resource consumption, identify performance bottlenecks , and validate query optimization results. Query Profiler helps developers, DBAs, and database engineers analyze query execution, find slow operations , review session statistics, compare profiling results, and improve MySQL database performance .