One platform, many customers, no leaks
Pooled, bridged or siloed: the tenancy model drives cost, isolation and operations. We help you choose it and build it so one customer can never see another's data.
How we approach it
In a pooled model all tenants share tables, separated by a tenant key and enforced in the database. It is the cheapest to run and the hardest to get right. A siloed model gives each tenant its own database and is easier to isolate but costlier to operate.
We pick the model from your customers' needs, then enforce isolation in layers: row-level security, tenant-aware queries, tests that try to cross boundaries, and per-tenant limits to contain noisy neighbours.
Isolation is tested, not assumed
We write tests that deliberately try to read another tenant's data, and they run on every build.
- Tenant identity carried from login to the query.
- Per-tenant backup and restore options.
- Clear data deletion on offboarding.
Step by step
Choose a model
Pool, bridge or silo based on risk and cost.
Enforce isolation
Database-level rules, not only application checks.
Meter
Per-tenant usage and limits.
Operate
Migrations, backups and onboarding automation.
What you receive
Row-level security
Isolation enforced where the data lives.
Tenant onboarding
Automated provisioning of new customers.
Per-tenant limits
Quotas and fair use.
Isolation tests
Automated attempts to cross tenant boundaries.
Common questions
Which tenancy model is best?
It depends on data sensitivity, customer size and budget. Pooled suits many small customers; siloed suits few large or regulated ones; bridged mixes them.
Can we move a tenant to its own database later?
A well-designed pooled system can promote large tenants to dedicated resources.
How do you prevent noisy neighbours?
Rate limits, quotas, queues and per-tenant monitoring.
Get a technical scope and estimate
Tell us what you are building and the date that matters. We will respond with questions, a proposed architecture and a range.