Multi-Tenancy for Self-Hosted SaaS | TinyPod

Building a SaaS product and want to self-host it? Multi-tenancy architecture determines how you isolate customer data.

What Is Multi-Tenancy?

Multi-tenancy lets multiple customers (tenants) share the same application while keeping their data isolated. How you implement isolation has major implications for security, performance, and cost.

Isolation Models

Shared Database, Shared Schema

All tenants share one database and tables. A tenant_id column separates data.

Pros: Simplest to implement, most resource-efficient

Cons: One query bug can leak data across tenants, noisy neighbor problems

Best for: Early-stage SaaS, low-risk data

Shared Database, Schema per Tenant

Each tenant gets their own database schema (PostgreSQL schemas, MySQL databases within a server).

Pros: Better isolation, easy per-tenant backups

Cons: Schema migrations run per-tenant, connection pooling is harder

Best for: Medium-security requirements

Database per Tenant

Each tenant gets their own database instance.

Pros: Complete data isolation, independent scaling, easy to move tenants between servers

Cons: More expensive, complex routing layer

Best for: High-security requirements, enterprise customers

Instance per Tenant

Each tenant gets their own application instance (container or VM).

Pros: Maximum isolation, tenants can't affect each other at all

Cons: Most expensive, hardest to manage

Best for: Healthcare, finance, or any regulated industry

Choosing Your Model

Start with shared database/schema and move toward more isolation as needed. Over-engineering isolation early adds complexity without benefit.

Questions to ask:

How sensitive is the data?

Do customers require dedicated infrastructure?

How many tenants will you have?

What's your pricing model?

TinyPod's Approach

TinyPod uses instance-per-tenant: each customer gets their own containers on their own server. Maximum isolation, zero noisy-neighbor problems.