For 3–30 Engineer Teams PostgreSQL Native Zero Lock-in

Who builds on ToasterDB?

Teams that are tired of rebuilding permissions, validation, and tenant isolation for every product.

Whether you're a SaaS startup chasing your first enterprise deal, a platform team replacing spreadsheets with real tooling, or an AI-forward team wiring agents into structured data — ToasterDB gives you the backend you'd spend a quarter building, on day one.

B2B SAAS BUILDERS

Enterprise-ready from day one.

You're a team of 3–30 engineers building a multi-tenant product on PostgreSQL. Your first enterprise customer asks for field-level security, audit trails, and GDPR compliance. Two choices: a quarter of plumbing, or ship this week.

What you get on day one

  • Multi-tenancy with row-level isolation
  • Field-level security on every column
  • CEL validation rules, enforced at the engine
  • Privacy compliance — PII classification, erasure, masking
  • Auto-generated forms from your schema
  • ToastQL — query with security baked in
SaaS CRM
// Monday — define objects
create_object("account")
create_object("contact")
create_object("deal")
// 3 objects, full CRUD, forms, API
// Tuesday — add security
deal.revenue.fls = {
"admin": "rw",
"rep": "read"
}
contact.rls = "tenant_id = ctx.tenant"
// Wednesday — enterprise customer asks
> "Do you have audit trails?"
> "What about GDPR compliance?"
> "Can we control field-level access?"
Already done.
INTERNAL PLATFORM TEAMS

Field Inspection

objects fls forms

Built in 3 days.

Internal CRM

objects relationships rollups

Replaced a Salesforce seat.

Inventory Tracker

objects validation cdc

Replaced 2 spreadsheets.

CRMs, ERPs, and ops tools.
Without the custom backend.

Every department needs internal tools. Most teams either buy bloated SaaS, duct-tape spreadsheets, or burn engineering cycles building bespoke backends.

ToasterDB gives platform teams a schema-driven foundation. Define your objects, declare security and validation rules, and get a full CRUD app with forms, APIs, and change data capture — without writing a single controller.

Emerging

AI agents that understand your data model.

ToasterDB exposes a schema metadata API for programmatic introspection. With MCP integration, your data model becomes first-class in agent workflows — agents can discover objects, understand field types and permissions, and generate correct CRUD operations without hardcoded mappings.

agent workflow
// agent introspects schema
schema = mcp.describe("deal")
// discovers fields + permissions
schema.fields → [name, value, stage]
schema.fls → { rep: rw, viewer: read }
// generates correct CRUD
toastql.create("deal", {
name: "Acme renewal",
value: 48000,
stage: "negotiation"
}) // validated + authorized

Whatever you're building, the plumbing is already done.

Start with the free tier. Your PostgreSQL. Our platform.

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