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Peek – A Figma like DB GUI

Peek – A Figma like DB GUI

by tehrash·Jun 14, 2026·3 points·0 comments

AI Analysis

●●●BangerZero to OneShip ItWizardry

Infinite canvas DB explorer with FK navigation that builds explorable data graphs.

Strengths
  • FK navigation creates explorable DAGs instead of static table views — genuinely novel interaction model.
  • Local AI inference with MCP support means queries and data never leave your machine.
  • P2P collaboration without centralized servers — architecturally interesting for team workflows.
Weaknesses
  • Beta stage with limited database support — Postgres, MySQL, SQLite, DuckDB only for now.
  • Canvas approach may not scale well for enterprise databases with hundreds of tables.
Target Audience

Backend developers, data engineers, database administrators

Similar To

TablePlus · DBeaver · DataGrip

Post Description

Over the last year or so I've been building a DB GUI that has all the features I've wanted in a db client. It's built using Tauri (so react for the ui and Rust for all the db interactions, LSP and multiplayer networking). I've been using it as my primary db client for a while but it just recently got to a point where it would make sense for other people to try it so I've [open sourced](https://github.com/getpeek/peek) it and slopped together a website for it.

What sets Peek apart from most other solutions is that all queries and results are laid out on an infinite canvas (like Miro or Figma). You can click on a primary key and see all references to that specific row, or click on a foreign key and it'll fetch and display those rows in new result nodes, kind of building a direct acyclic graph as you go. It'll also give you chart nodes for numerical data in results and you can draw on the canvas like a whiteboard or drop text nodes. You could also run two or three queries and check the results side by side.

There are a bunch more features such as fully P2P multiplayer (based on [iroh.computer](https://iroh.computer)) that works just like it does in figma/miro with live cursors etc. Guests never see the connection details, though, but rather they send commands to the host and the data is synced back to the guest when the host canvas updates. There is no centralized Peek service either, even for address resolution so you don't have to worry about leaking connection information, table data or anything else when using the multiplayer features.

There is a built-in AI agent that works both with local inference with your self-hosted OpenAI compatible server (ollama, llama.cpp etc) so nothing leaves the machine, or via MCP so Claude Code can create nodes, move the camera, analyze results etc. All AI features are fully optional of course and the MCP is disabled by default.

Have a Peek!

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