DBeaver is super handy when working with multiple databases. It supports a wide range of DB types (like MySQL, PostgreSQL, Oracle, etc.), so I don’t need to switch tools. The UI is clean and beginner-friendly, and I really like features like the ER diagram viewer, query auto-complete, and data export options. It makes running and organizing queries much easier, especially when dealing with large datasets.

Connects to virtually any major database with JDBC drivers. Rich Feature Set: Includes ER diagrams, visual query builders, data editing, SQL editor with autocompletion, and export/import tools.Dbeaver can run on Windows, macOS, and Linux. The community edition offers a lot of functionality for free, with a paid version for advanced enterprise features.

There are several things which I like about DBeaver. First is its resource utilization, yes, when trying to access a huge database on a low resource maching, many of the database tools in my case failed, however I was able to access those databases with the help of Dbeaver. Secondly,I like that I can manage multiple databases, all at the same place, I primarily use SQLite as well as Postgres and sometimes MySQL as well, and I can access all of those databases at the same place itself. I can also connect to the same DBMS with different databases and make use of multiple databases all at the same time. The database connection is also at the file level, so I can segregate the queries. Also, the most useful feature for me is how I can import SQL Scripts folder in the project menu, this helps me to quickly access pre-written scripts and get started and finished with the repetitive tasks as quickly as possible.