15 MB to manage 35+ databases!

DBX keeps query work, schema checks, and Redis inspection in one small app. It feels focused instead of overloaded.

The data grid and export flow are the parts I reach for every day. Filters, previews, and edits stay close to the data.

Desktop mode is light enough for local work, and Docker mode makes it easy to give the team browser access.

I can jump between SQLite, MySQL, MongoDB, and DuckDB without changing tools or waiting on a heavy runtime.

Schema browsing, ER diagrams, and diff tools make reviews faster because the important context is already connected.

The MCP server is a practical touch. It lets coding agents inspect database context without inventing another bridge.

DBX keeps query work, schema checks, and Redis inspection in one small app. It feels focused instead of overloaded.

The data grid and export flow are the parts I reach for every day. Filters, previews, and edits stay close to the data.

Desktop mode is light enough for local work, and Docker mode makes it easy to give the team browser access.

I can jump between SQLite, MySQL, MongoDB, and DuckDB without changing tools or waiting on a heavy runtime.

Schema browsing, ER diagrams, and diff tools make reviews faster because the important context is already connected.

The MCP server is a practical touch. It lets coding agents inspect database context without inventing another bridge.

Sidebar search and grouped objects make large schemas manageable. I can find what I need without scrolling through hundreds of tables.

Code completion in the SQL editor picks up column names and table aliases automatically. It saves a lot of tab-switching to check schema.

Export options cover CSV, Excel, and SQL inserts. For daily data pulls, the workflow is quick and doesn't need extra scripting.

SSH tunnel setup is straightforward — fill in the fields and connect. No need to manage port forwarding manually in a terminal.

ER diagrams give a clear picture of table relationships. Useful during design reviews when the team needs a shared visual reference.

The AI assistant helps draft queries from natural language. It handles routine JOINs and aggregations well enough to speed things up.

Sidebar search and grouped objects make large schemas manageable. I can find what I need without scrolling through hundreds of tables.

Code completion in the SQL editor picks up column names and table aliases automatically. It saves a lot of tab-switching to check schema.

Export options cover CSV, Excel, and SQL inserts. For daily data pulls, the workflow is quick and doesn't need extra scripting.

SSH tunnel setup is straightforward — fill in the fields and connect. No need to manage port forwarding manually in a terminal.

ER diagrams give a clear picture of table relationships. Useful during design reviews when the team needs a shared visual reference.

The AI assistant helps draft queries from natural language. It handles routine JOINs and aggregations well enough to speed things up.