Introduction

Drizby is an open-source AI analytics platform powered by drizzle-cube. It provides dashboards, agentic AI notebooks, a visual analysis builder, and a full semantic layer — all in a single self-hostable application.

Want to Embed Analytics in Your Own App?

If you’re building a product and want to embed analytics directly as native React components, check out Drizzle Cube — the open-source semantic layer and embeddable analytics library that powers Drizby.

Key Features

• AI-Powered Notebooks — Ask questions in plain English. Multi-turn AI notebooks generate charts, tables, and insights automatically.
• Dashboards & Charts — Drag-and-drop grid dashboards with bar, line, area, pie, scatter, KPI cards, and data tables.
• Semantic Layer — Define metrics once with Drizzle schemas. Access them everywhere — dashboards, APIs, or AI agents.
• MCP Server — Expose your data to Claude, Copilot, and Cursor through the Model Context Protocol with OAuth 2.1.
• Unlimited Users — No per-seat pricing. Role-based access, group visibility, and 7 authentication methods.

Supported Databases

Drizby supports any database that Drizzle ORM supports:

Engine	Providers
PostgreSQL	PostgreSQL, Neon, Supabase, PGlite, AWS Aurora
MySQL	MySQL, PlanetScale, TiDB
SQLite	SQLite, Turso
Snowflake	Snowflake
SingleStore	SingleStore
Databend	Databend
DuckDB	DuckDB

Architecture

Drizby is built on:

• Backend: Hono (TypeScript), Drizzle ORM, SQLite (internal DB)
• Frontend: React 18, TanStack Query, Recharts, Tailwind CSS, Monaco Editor
• Semantic Layer: drizzle-cube — compiles Drizzle schemas into analytics cubes
• AI: Anthropic Claude, OpenAI, Google Gemini (configurable)
• Auth: Session-based with Google OAuth, CASL role-based permissions