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dbdelve

dbdelve• Pinned

dbdelve: A fast, native, cross-platform, multi-engine database client.

What problem it solves

Database users need a client that remains responsive while browsing large tables and connecting to multiple database engines. DBDelve addresses this with a native Rust and GPUI interface that avoids Electron and JVM dependencies while keeping its core features free and open source.

Key features

  • Broad database support — Connect to Postgres, MySQL, MariaDB, SQLite, Turso, DuckDB, Snowflake, SQL Server, MongoDB, Redis and ClickHouse. Databases with an ODBC driver are also reachable through the bundled bridge.

    Source: README

  • Safe data editing and imports — Review generated UPDATE statements before they run, and inspect every statement produced by CSV, TSV or JSON imports. Connection modes and confirmation prompts help distinguish destructive operations.

    Source: README

  • Connection organization and migration — Group connections into projects and access them through a command palette or a home screen. Existing connections, passwords and SSH settings can be imported from DBeaver, with TablePlus support on macOS.

    Source: README

  • Query tooling — Complete table and column names from the loaded schema and inspect query plans in a dedicated pane. The plan view highlights inaccurate row estimates.

    Source: README

  • Themes and keyboard-first navigation — Choose built-in, Catppuccin, Tokyo Night, Gruvbox and Dracula themes, or import and create themes. A unified palette provides commands, tables, saved queries, history and connections, with rebindable shortcuts.

    Source: README

Quick start

Copied verbatim from the project's README.

brew install --cask ShayanAbbas1/dbdelve/dbdelve
curl -fsSL https://raw.githubusercontent.com/ShayanAbbas1/dbdelve/main/install.sh | sh

Who it may suit

This may suit developers and database administrators who work across several database engines and want a native desktop interface with reviewable edits and imports.

Topics to discuss

  • Which additional database engines or ODBC workflows should receive priority?

  • Which connection-management features would make multi-project workflows easier?

  • How should reviewable editing and imports evolve for complex production data?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/ShayanAbbas1/dbdelve#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/ShayanAbbas1/dbdelve

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