Pakistan

Multi Tenant SaaS Architecture

The core decision: shared tables or separate schemas

Multi-tenant architecture comes down to one central tradeoff early on - shared database tables with a tenant ID column (simpler, cheaper, scales well for many small tenants) versus separate schemas or databases per tenant (stronger isolation, easier per-tenant customization, more operational overhead). Neither is universally correct; the right choice depends on your expected tenant count, how much customization each tenant needs, and your compliance requirements. We make this decision explicitly with you rather than defaulting to whichever is easier to build first.

What we design and build

Tenant data isolation strategy, chosen based on your real scale expectations rather than copying whatever pattern is trending
Tenant provisioning - how a new customer signs up and gets a working, isolated environment, automated rather than a manual setup step that doesn't scale
Per-tenant configuration and feature flags, so tenants can have different plan tiers/features without forking the codebase
Scaling patterns appropriate to your growth stage - what works for 10 tenants often needs revisiting at 1,000, and we're upfront about which parts of the design have a natural scaling ceiling

Our process

1. Understand your real growth trajectory

Expected tenant count and growth rate change the right architecture significantly - designing for 10,000 tenants when you have 3 is often wasted effort; designing for 3 tenants when you're planning to onboard hundreds quickly creates a costly rebuild later.

2. Design data isolation

Documented and reviewed before implementation, since this is the hardest architectural decision to reverse later.

3. Build provisioning and configuration

Automated tenant onboarding and per-tenant feature configuration, tested with realistic multi-tenant scenarios.

4. Load test realistically

Simulated with tenant counts and usage patterns resembling your real projected growth, not just a handful of test accounts.

Pricing

Rs 250,000-1,000,000 depending on isolation strategy complexity, provisioning automation, and expected scale.

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Frequently asked questions

Shared tables or separate databases per tenant - which is right for us?

Depends on your expected tenant count and customization needs - shared tables with tenant IDs scale well for many similar tenants; separate schemas suit fewer tenants needing stronger isolation or heavy customization. We decide this explicitly with you, not by default.

Can tenants have different features/plans?

Yes - per-tenant configuration and feature flags are built in so plan tiers don't require forking the codebase per customer.

How does a new customer get onboarded?

Through automated provisioning - a new tenant gets a working, isolated environment without a manual setup step, which matters once you're signing up more than a handful of customers.

What if we're not sure how big this will get?

We design for your realistic near-term growth rather than either extreme - over-engineering for scale you may never reach, or under-designing in a way that requires a costly rebuild at your first real growth spurt.

Do you test with realistic multi-tenant load?

Yes - load testing uses tenant counts and usage patterns resembling your real projected growth, not just a few test accounts.

What does it cost?

Rs 250,000-1,000,000 depending on isolation strategy, automation and expected scale.

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