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Paul is a free macOS app. It is laser‑focused on one job: safely investigating a user’s data in Postgres, fast. Unlike general DB admin tools (think DBeaver or PgAdmin), it’s read‑only by design and optimized for on‑call and support. You trace a user across related tables, follow foreign keys, and keep context in a split view. For more read-only features, there are two additional modes : - Raw SELECT SQL - Agent mode Always fast, and simplesee more

GitHubAppleDatabase
Mar 8, 2013

Founder

Uunknown

Screenshots

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About

Imagine needing to quickly dive into your production data on your Mac to solve a pressing user issue or understand a tricky data relationship, but you dread opening those bulky, complex database administration tools. That’s exactly why Paul Gres was created. This isn't just another general purpose database client; it’s a highly specialized, free macOS application laser-focused on one critical task: safely investigating your Postgres data, incredibly fast. Paul understands that when you are on call or providing crucial support, speed and safety are non-negotiable. Its core design philosophy is read-only, meaning you can trace user journeys, follow complex foreign key relationships across multiple tables, and maintain complete context without any risk of accidental modification. This peace of mind allows support and engineering teams to move with confidence, quickly pinpointing the root cause of an issue by seeing exactly what the user sees in the data, all within a beautifully simple, native Mac interface that never slows you down.

What truly sets Paul apart is its dedication to investigative workflows. Instead of drowning you in configuration options and administrative menus, Paul prioritizes clarity. You can effortlessly navigate between related data points, keeping crucial context visible in a split view so you never lose your place while tracing dependencies. Furthermore, for those times when you need absolute precision, Paul offers specialized modes. You can switch to a Raw SELECT SQL mode to execute precise queries exactly as you intend, or utilize the Agent mode for streamlined, role-specific data retrieval. Every interaction is engineered for minimal latency, ensuring that whether you are digging into a single user record or mapping out a complex data structure, the application remains snappy and responsive. It’s the perfect companion for anyone who relies on Postgres data for troubleshooting, support, or rapid analysis on the go, offering the simplicity of a dedicated tool built specifically for the demands of modern, fast-paced operations on Apple hardware.

Paul Gres | SaasLet