Search Results for "cross platform"

A simple and lightweight SQL client desktop/terminal with cross database and platform support. In case you prefer terminal interfaces. You should try this one. A desktop application with a simple interface.

dblab is a fast and lightweight interactive terminal based UI application for PostgreSQL, MySQL and SQLite3, written in Go and works on OSX, Linux and Windows machines. Main idea behind using Go for backend development is to utilize ability of the compiler to produce zero-dependency binaries for multiple platforms. dblab was created as an attempt to build very simple and portable application to work with local or remote PostgreSQL/MySQL/SQLite3/Oracle/SQL Server databases.

Tabularis is a free, open-source desktop database client for PostgreSQL, MySQL/MariaDB, and SQLite. Built with Rust and Tauri v2, it is fast, lightweight, and cross-platform (Windows, macOS, Linux). Features: SQL Notebooks with inline charts and cross-cell variables. AI-powered SQL assistant (OpenAI, Claude, Ollama, and more). Built-in MCP server for AI agent integration. Visual Query Builder with drag-and-drop JOINs. Plugin system to add any database driver. Monaco-based editor with smart autocomplete. ...

Dory is an AI-native Data Workspace for modern databases. The AI-powered Data Studio you’ve been waiting for. It combines intelligent SQL editing, context-aware AI assistance, conversational database exploration, and deep operational integration across modern databases into a single unified studio — helping engineers and analysts write, understand, and manage data more efficiently.

DB Explorer is a free, cross-platform database query tool and schema explorer built for developers, DBAs, and data analysts. It provides a clean graphical interface for connecting to multiple database systems, writing and executing SQL, exploring schemas, monitoring database health, and generating SQL queries using AI — all from a single application. Supported Databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Amazon DynamoDB, and any JDBC-compatible database.