Seven Database Engines
Use relational, document, key-value, and local-file databases without maintaining a separate desktop client for every engine.
- •MySQL and PostgreSQL
- •SQL Server, Oracle, and SQLite
- •MongoDB and Redis
Database Workspace
Connect, inspect, query, edit, export, and troubleshoot MySQL, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, and Redis from one secure native desktop workspace.
Use relational, document, key-value, and local-file databases without maintaining a separate desktop client for every engine.
Open each database as a tab in one managed database window and keep separate query, metadata, result, history, and connection state for every profile.
Protect database passwords, tunnel credentials, saved queries, schedules, and history with the SSH Bridge vault before backend storage.
Run a selection, the statement at the cursor, or a complete script with engine-aware splitting and safety checks for data-changing commands.
Browse catalog metadata and generate dialect-aware commands for tables and the programmable objects supported by each engine.
Page, filter, and sort table data, stage row or document changes for review, and use type-aware tools for Redis keys.
Move query results and table data through CSV workflows or schedule timestamped exports to a device folder while the workspace remains connected.
Create or restore local backups where a safe desktop workflow and the required native database utility are available.
Ask OpenAI, Gemini, or Ollama about the active engine, discovered schema, editor query, and optional result samples, then open generated SQL for review.
Learn more
Take a closer look at the supported engines, encrypted profiles, SSH tunnels, query tools, data workflows, backups, and AI assistance.