DBX

{
  "alternatives": [
    "DBeaver",
    "DataGrip",
    "Sequel Pro",
    "pgAdmin"
  ],
  "artifacts": [
    {
      "app": [
        "DBX.app"
      ],
      "target": "/Applications/DBX.app"
    },
    {
      "zap": [
        {
          "trash": [
            "~/Library/Application Support/com.dbx.app",
            "~/Library/Caches/com.dbx.app",
            "~/Library/Logs/com.dbx.app",
            "~/Library/Preferences/com.dbx.app.plist"
          ]
        }
      ]
    }
  ],
  "auto_updates": 1,
  "categories": [
    "database-client",
    "dev-tools"
  ],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Database management tool",
  "disable_reason": null,
  "disabled": 0,
  "display_name": "DBX",
  "enrichment_fetched_at": "2026-06-20T22:41:57+00:00",
  "first_seen": "2026-06-20T00:47:34+00:00",
  "full_token": "dbx",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://dbxio.com/",
  "homepage_og_description": "50+ databases in 15 MB. Desktop \u0026 Docker self-hosting, with built-in AI assistant.",
  "homepage_og_image": "https://dbxio.com/logo.png",
  "homepage_title": "DBX",
  "installs_30d": 1012,
  "installs_365d": 1012,
  "installs_90d": 1012,
  "last_seen": "2026-06-20T00:47:34+00:00",
  "llm_generated_at": "2026-06-20T23:03:43+00:00",
  "llm_model": "claude-haiku-4-5",
  "names": [
    "DBX"
  ],
  "one_liner": "Database management tool supporting 50+ database types with a built-in AI assistant.",
  "rank_30d": 295,
  "rank_365d": 1445,
  "rank_90d": 633,
  "raw_hash": "7553dd3021e72e25",
  "ruby_source_path": "Casks/d/dbx.rb",
  "tap": "homebrew/cask",
  "token": "dbx",
  "version": "0.5.35",
  "why_use_this": "DBX consolidates connections to multiple database types in a single lightweight application (15 MB), eliminating the need for separate tools per database. It includes an AI assistant for query help and supports both desktop and Docker deployment, making it useful for developers working across diverse database ecosystems."
}