Embedded analytics with Postgres and React
Many SaaS teams run on Postgres and React. You should not need a full warehouse migration to embed customer dashboards. The safer pattern is a React surface, server-side JWT signing, tenant-aware query generation, and SQL execution through your controlled backend path.
Frontend
React components embedded in your product route.
Backend
Server-minted JWTs and controlled query execution.
Database
Postgres schema context plus tenant-aware SQL generation.
Flow
A practical request flow
The browser renders the analytics UI, your server signs a short-lived token with organization and tenant context, QueryPanel generates the chart or SQL path, and execution stays aligned with the tenant boundaries your app controls.
- React renders the customer analytics workspace.
- Your API signs JWTs and keeps private keys server-side.
- Tenant context travels with each analytics request.
Security
Keep sensitive pieces server-side
Never extract tenant identity in frontend-only code and never ship private keys to the browser. Treat embedded analytics like any other customer-facing API surface: auth first, permissions second, rendering last.
Implementation
Avoid rebuilding the dashboard stack
With QueryPanel, product teams can connect the database, train business context, and embed a dashboard experience while keeping the application stack familiar: Postgres, React, and a small backend integration.
FAQ
Can you embed analytics directly on Postgres?
Yes. SaaS teams can embed analytics on operational Postgres when query execution, tenant context, and performance boundaries are handled carefully.
Should tenant IDs be handled in React?
No. Tenant identity should be verified and signed server-side. The frontend can render the analytics experience, but it should not be the source of tenant authorization.