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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 .

Database software helps organize, manage, retrieve, and analyze data in databases. But what does that actually mean in practice? In this video, we explain what database software is using a simple library analogy, show how it helps add, edit, delete, and report on data. We also break down the main types of database tools used by developers, DBAs, analysts, and technical teams. You will also see examples of well-known database software, including SSMS, MySQL Workbench, pgAdmin, Oracle SQL Developer, JetBrains DataGrip, DBeaver, and dbForge Edge.

dbForge is an AI-powered multi-database ecosystem for SQL development, database design, data management, testing, administration, reporting, and automation. In this video, you will see how dbForge helps database developers, DBAs, and technical teams reduce tool switching and work across SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, cloud databases, and on-premises environments from one connected ecosystem.

Managing different databases, tools, and environments can slow down your workflow… but dbForge brings everything together. Work with SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and cloud databases Use AI to generate, explain, fix, and optimize SQL queries Design, develop, test, manage, and automate databases Choose from dbForge Edge, dedicated Studios, standalone tools, and SSMS/Visual Studio add-ins.

Are slow SQL queries affecting your database performance? In this video, we show how to use Query Profiler in dbForge Studio for SQL Server to analyze execution plans, track CPU and memory usage, detect missing indexes, and identify performance bottlenecks.

Are slow SQL queries affecting your database performance? In this video, we show how to use Query Profiler in dbForge Studio for SQL Server to analyze execution plans, track CPU and memory usage, detect missing indexes, and identify performance bottlenecks.