Give every customer their own database. Operate them like one.
An isolated database per tenant on PostgreSQL, MySQL, MongoDB and Redis, with the operations that usually stop teams already built in: provisioning, schema rollout, credentials, backups, limits, and moving a tenant to its own hardware. Your application keeps its existing drivers.
4 Database Engines in 1 Platform
THE THING NOBODY PLANNED TO BUILD
Somewhere along the way, you started running a second platform.
The questionnaire arrives
A prospect’s security team asks, in writing, how their data is kept separate from other customers.
Deletion takes a week
A customer leaves, and removing their data becomes a careful manual project across many tables.
One customer slows everyone
A report run by a single account shows up as latency for the whole platform.
Migrations happen on weekends
Schema changes are scheduled out of hours because the blast radius is every customer at once.
infra/tenants/
Zero Cold Starts.
Every tenant database is always running. No wake-up latency. No connection delays. No RLS policies. Queries execute on first request.
Infrastructure Lifecycle
Schema Management
One schema change. Every customer. One command.
You change the schema once in a workspace, using your normal client. Each change is captured as a numbered blueprint version, and deployment applies that version across the fleet with per-tenant status.
Automatic schema versioning
One command deploys to all tenants
DDL blocked on tenant connections
Zero schema drift across tenants
Per-tenant status: applied, pending, failed
Tenant Isolation
The boundary is the database, not your code
In a shared table, separation holds as long as every query carries the right filter. Here there is no shared table to filter: each customer has their own database and their own credentials, so a query that forgets the filter still only sees one customer.
Own database, own credentials
No tenant_id, no RLS policies
Wrong credential refused at handshake
Permissions enforced by the engine
Works with your existing drivers
Migrations
Start shared. Move to dedicated when the contract asks for it.
Every customer already has their own database on shared infrastructure. When one outgrows it, a single command moves that database onto a machine of its own, using native replication. The application keeps serving during the copy.
Native replication, no intermediate storage
Measured cutover: under 2 seconds
Connection string never changes
Safety backup before every move
Failed replication leaves the tenant untouched