Why Supabase over Firebase?

Postgres beats Firestore for relational data and AI workloads. Supabase gives you better SQL ergonomics and an open-source, self-hostable path that Firebase cannot match.

Can Supabase handle HIPAA?

Self-hosted Supabase on HIPAA-eligible AWS services: yes. Managed Supabase support is more limited, so we check the current state with their team before committing.

When do you move off Supabase?

When you need enterprise SSO, custom auth flows beyond Supabase’s scope, regulator-required data residency, or extreme scale. We architect for migratability so the move is a project, not a rewrite.

Do you use pgvector or a dedicated vector DB?

pgvector when scale is moderate (under ~10M vectors). Pinecone or Weaviate when scale genuinely demands it. We avoid premature optimization.

Can you migrate from Firebase or MongoDB to Supabase?

Yes; it is a common pattern. It typically starts with a written review on the current state before we plan the migration.

Supabase & Postgres Development

We build production data layers on Supabase + Postgres. Row-level security, real-time subscriptions, pgvector for AI, and the architecture decisions that survive scale.

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Why we picked this stack

Supabase gives us Postgres plus Auth, Realtime, Storage, and Edge Functions in a single managed package: perfect for funded startups that need to move fast without standing up five services. Postgres is where we start when a relational core fits: relational, mature, JSON-flexible when needed, and vector-capable with pgvector. Row-level security policies let us implement multi-tenant and permission systems without auth-service complexity. And when Supabase stops being the right fit, a self-host migration path exists; so the stack survives scale instead of trapping you.

What we build with it

Schema design + migrations

Postgres schema design and migrations via Supabase migrations, Prisma, or raw SQL: versioned and reviewable.

Row-level security

RLS policies for multi-tenant SaaS: permissions enforced in the database, not bolted on in app code.

Realtime subscriptions

Live dashboards, chat, and collaborative tools backed by Supabase Realtime over Postgres replication.

pgvector for AI/RAG

Vector search in Postgres when scale is moderate and operational simplicity beats a separate vector DB.

Edge Functions

Serverless backend logic deployed at the edge: webhooks, integrations, and on-the-fly transforms.

Auth integration

Supabase Auth wired into your app: or a clean migration to Clerk or Auth0 when you outgrow it.

Versions and libraries we use

Supabase (managed)Where a relational core fits: Postgres, Auth, Realtime, Storage, and Edge Functions in one package.
Postgres 15+We keep current: Postgres and Supabase for products where a relational core fits.
pgvectorVector search at moderate scale, embedded in the same database as your relational data.
Prisma / Supabase generated typesType-safe queries end to end: generated from the schema, not hand-maintained.
PostgREST patternsSupabase auto-generated REST: used where it fits, bypassed where raw SQL is clearer.
pgBouncerConnection pooling for serverless and high-concurrency workloads at scale.
Supabase JS / Python clientsFirst-class clients for both our TypeScript front ends and Python data/AI services.

Where Supabase + Postgres fits

AI Marketing

Ad platforms, outbound engines, and content tooling on a fast relational data layer.

AI ad-creative platforms
Outbound + enrichment engines
Content + AEO tooling

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AI Healthtech

Self-hosted Supabase on HIPAA-eligible infrastructure for clinical and medical-document workflows.

Clinical copilots
Triage + intake
Medical document workflows

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AI Fintech

Relational integrity and row-level security for underwriting, risk, and document-intelligence pipelines.

Underwriting + risk models
Fraud detection
Document intelligence

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How we approach Supabase + Postgres

CheckyPro

A custom checkout and payment platform for Shopify merchants: gateway integration, Apple Pay and Google Pay, multi-store installs, disputes and settlement reporting.

9 stalled pull requests and a 3-week bug backlog cleared; 3 held features then shipped.

Draft Deputy

A Shopify app that inverts order entry for live sellers: scan the product, and the draft order builds itself.

30+ SKUs scanned into one Shopify draft order; the old version choked on large ones.

2250

A 60-second skin scan on a pharmacy shelf that resolves into one of more than a thousand personalised formulas, handed to the customer the same visit.

1,000+ skincare formulas resolved from a 60-second phone scan in 55+ San Pablo pharmacies, before the customer leaves the store.

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Related technologies

Next.js

The front end and full-stack layer we most often pair with a Supabase + Postgres backend.

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RAG Systems

Retrieval-augmented generation grounded on pgvector when scale and simplicity allow.

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AI/ML

LLM apps, agents, and vision pipelines that read and write the data layer Postgres holds.

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Frequently asked questions

Postgres beats Firestore for relational data and AI workloads. Supabase gives you better SQL ergonomics and an open-source, self-hostable path that Firebase cannot match.

The technology is the starting point, not the deliverable

We select tools for the problem, not for the portfolio. Every technology detail page on this site describes a stack we reach for because it ships, not because it trends.

Building on Supabase or Postgres? Schedule a meeting.

No account managers. No discovery theatre. A direct conversation about your data layer, your RLS model, and what it takes to ship it to production.

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