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multi-tenancy-patterns

Implement multi-tenancy patterns for B2B SaaS applications with PostgreSQL RLS.

2|Updated Dec 21, 2025
Search Tags:#architecture#security#database#postgresql#access control#multi-tenancy#saas
One-click install
npx skills add https://github.com/telum-ai/speck --skill multi-tenancy-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-tenancy-patterns
Source: https://github.com/telum-ai/speck/tree/main/.cursor/skills/multi-tenancy-patterns
Command: npx skills add https://github.com/telum-ai/speck --skill multi-tenancy-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust strategies and code examples for implementing multi-tenancy in B2B SaaS applications, ensuring data isolation, secure access control, and seamless organization management.

Core Features & Use Cases

  • Tenant Isolation: Implement logical or strong isolation using shared tables, separate schemas, or separate databases.
  • Access Control: Define role-based access and manage user memberships within organizations.
  • Organization Switching: Facilitate smooth transitions between different tenant contexts in the UI and API.
  • Use Case: When building a SaaS platform, use these patterns to ensure that each customer's data is segregated and only accessible by their authorized users, while allowing users to switch between different organizations they belong to.

Quick Start

Implement multi-tenancy patterns for a B2B SaaS application by defining tenant isolation strategies and role-based access control.

Frequently Asked Questions about multi-tenancy-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What are the best multi-tenancy patterns for a B2B SaaS application?▼

The best multi-tenancy patterns for B2B SaaS involve tenant isolation strategies using shared tables, separate schemas, or separate databases to ensure data segregation. These patterns secure access control and enable organization switching for scalable architecture.

How do I implement Row-Level Security (RLS) for multi-tenancy in PostgreSQL?▼

Implement Row-Level Security (RLS) in PostgreSQL by applying tenant isolation patterns that restrict data access at the database level. This ensures authorized users only access their specific organization's data within shared tables.

How do I manage user roles and organization switching in a multi-tenant SaaS architecture?▼

Manage user roles and organization switching by implementing role-based access control and invitation flows. This facilitates smooth transitions between different tenant contexts in the UI and API for users belonging to multiple organizations.

Does this multi-tenancy pattern support separate databases or only shared schema isolation?▼

This multi-tenancy pattern supports both logical isolation using shared tables and strong isolation using separate schemas or separate databases. It allows you to choose the appropriate tenant isolation strategy for your SaaS scale.

When should I choose separate schemas over shared tables for tenant isolation?▼

Choose separate schemas or separate databases over shared tables when your SaaS application requires strong tenant isolation. Shared tables offer logical isolation, while separate schemas provide more robust data segregation for stricter access control needs.

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