Supabase gives you a real Postgres database, auth, and real-time subscriptions out of the box — but a fast prototype and a production-ready backend are two different things. We set up Supabase projects with row-level security done right, schemas that won't need a rewrite at scale, and migration paths for teams moving off Firebase.
Supabase looks simple in the dashboard — the hard part is the schema, security, and scaling decisions underneath it that only show up once real users show up.
Real relational schemas, indexes, and migrations managed with SQL — not ad hoc tables that work until they don't.
RLS policies audited against every table and role so 'it works in testing' doesn't turn into a data leak in production.
Supabase Auth, magic links, and real-time subscriptions configured for your actual user flows, not the quickstart defaults.
We've moved teams off Firebase's NoSQL model onto Postgres schemas without losing data integrity or downtime they can't afford.
The people designing your database schema are the people who scoped the architecture — no handoff gap between sales and delivery.
Documented schemas, migration history, and clean RLS policies so your in-house team isn't stuck reverse-engineering the backend later.
Scoped to what your product needs — not a fixed package of features you'll pay for and never use.
Postgres schema design, migrations, and project structure for a SaaS MVP that can grow past its first hundred users.
Email, magic link, OAuth, and multi-tenant auth flows built on Supabase Auth with proper session handling.
RLS policies scoped to your actual roles and tenants, audited so data access matches what your product should allow.
Live updates, presence, and subscriptions for collaborative or dashboard-style products using Supabase Realtime.
Data model conversion from Firestore's NoSQL structure to relational Postgres, plus auth and storage migration.
Query optimization, indexing, and connection pooling for Supabase projects that have started to slow down under real load.
Supabase fits products that need relational data, complex queries, or SQL joins — Postgres underneath gives you that for free. Firebase's Firestore is a better fit for simple document-shaped data with very high write throughput and less need for relational integrity. Most SaaS products with users, teams, and permissions map more naturally onto Supabase.
Yes. We map your Firestore collections to a relational schema, migrate auth users and storage, and move data with a plan for minimal downtime. The scope depends mainly on how deeply your app logic depends on Firestore's document structure.
Yes. If your Supabase project is already live and slowing down, we can do a focused engagement — query analysis, indexing, connection pooling — without taking over the whole backend.
Yes. We design schemas and RLS policies for multi-tenant SaaS specifically — shared tables with tenant isolation enforced at the database level, not just in application code.
Usually a short scoping call to understand your current schema and pain points, followed by a fixed-scope audit or project — schema redesign, RLS review, or migration plan — with clear deliverables rather than an open-ended retainer.
Tell us what you're building or migrating — we'll scope the schema, auth, and RLS approach on a free call.