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README.md

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Teable Database Platform
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Teable: Deep Dive Tutorial

Project: Teable — A high-performance, multi-dimensional database platform built on PostgreSQL with real-time collaboration.

Stars License: AGPL v3 TypeScript

Why This Track Matters

Teable combines the power of PostgreSQL with a collaborative spreadsheet interface, offering teams a scalable no-code database that doesn't sacrifice data integrity or query performance for usability.

This track focuses on:

  • building on PostgreSQL with Teable's schema management and query system
  • implementing real-time collaborative editing with WebSocket consistency
  • generating and consuming REST and GraphQL APIs from Teable tables
  • deploying and scaling Teable with Docker for production workloads

What Is Teable?

Teable is a high-performance, multi-dimensional database platform that combines the power of PostgreSQL with a spreadsheet-like UI. It supports real-time collaboration, complex data relationships, and advanced querying — offering a scalable alternative to Airtable built on proven database technology.

Feature Description
PostgreSQL Native Built directly on PostgreSQL for performance and reliability
Multi-Dimensional Grid, kanban, gallery, form, and calendar views
Real-Time Collab WebSocket-based collaborative editing with conflict resolution
Advanced Queries Complex filters, aggregations, cross-table relationships
REST & GraphQL Auto-generated APIs with schema validation
Self-Hosted Docker deployment with horizontal scaling

Mental Model

graph TB
    subgraph Frontend["Next.js Frontend"]
        GRID[Grid View]
        KANBAN[Kanban View]
        FORM[Form View]
        GALLERY[Gallery View]
    end

    subgraph Backend["NestJS Backend"]
        API[REST / GraphQL API]
        REALTIME[WebSocket Engine]
        QUERY[Query Builder]
        AUTH[Auth & RBAC]
    end

    subgraph Data["Data Layer"]
        PG[(PostgreSQL)]
        REDIS[(Redis Cache)]
        S3[Object Storage]
    end

    Frontend --> Backend
    Backend --> Data
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Chapter Guide

Chapter Topic What You'll Learn
1. System Overview Architecture Teable's position in the database ecosystem
2. Database Architecture Data Layer PostgreSQL schema, storage engines, indexing
3. Setup Environment Development Complete development stack configuration
4. API Development API Layer REST/GraphQL contracts and validation patterns
5. Realtime Collaboration Collaboration WebSocket events and multi-user consistency
6. Query System Querying View-driven query planning and optimization
7. Frontend Architecture UI Layer Dynamic view rendering and state boundaries
8. Production Deployment Operations Deployment hardening, scaling, and observability

Tech Stack

Component Technology
Backend NestJS, TypeScript
Frontend Next.js, React
Database PostgreSQL
Cache Redis
Real-Time WebSockets
Deployment Docker Compose

Ready to begin? Start with Chapter 1: System Overview.

Built with insights from the Teable repository and community documentation.

Navigation & Backlinks

Full Chapter Map

  1. Chapter 1: System Overview
  2. Chapter 2: Database Architecture
  3. Teable Development Environment Setup
  4. Chapter 4: API Development
  5. Chapter 5: Realtime Collaboration
  6. Chapter 6: Query System
  7. Chapter 7: Frontend Architecture
  8. Chapter 8: Production Deployment

Current Snapshot (auto-updated)

What You Will Learn

  • how Teable uses PostgreSQL as its native storage layer with schema management and indexing
  • how WebSocket-based real-time collaboration handles multi-user consistency
  • how the query system translates view-driven filters into optimized PostgreSQL queries
  • how to deploy and scale Teable with Docker Compose for production environments

Source References

Generated by AI Codebase Knowledge Builder