Supabase Development

Supabase when you need Postgres, auth, and storage without a backend team.

Supabase at Empyreal Infotech gives you Postgres, auth, RLS, and edge functions without a backend team, shipping production features on day one.

Full-featured backend on day one. RLS for security. Real-time subscriptions. Edge functions. Only pay for what you use.

Founder-led. Senior engineers only. Your architecture partner, not your vendor.

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Postgres · RLS pgvector · AI-aware Realtime $45–75/hr
Why Supabase

When to choose it.

Supabase is Postgres plus auth plus storage plus real-time. It is the opposite of a kitchen-sink platform. It is a cohesive foundation.

Three honest reasons: First, you need a relational database from day one. Supabase gives you Postgres without hiring a DBA. Second, Row Level Security (RLS) is built in. Your auth and data rules live in the same system. That alignment prevents security debt. Third, it scales predictably. You pay per compute unit. No surprise bill on day 31.

What We Build with Supabase

Six pillars.

Auth

Passwordless, multi-factor, OAuth. PKCE flow. Magic links. Session management inside Postgres.

RLS

Row-level security policies enforce data access at the database layer. Your security model lives in SQL, not scattered across services.

Edge Functions

Typescript serverless deployed to edge locations. Sub-100ms response times. Ideal for webhooks, scheduled tasks, API orchestration.

Realtime

Broadcast channels and presence tracking. Watch database changes in real-time. Built on PostgreSQL's LISTEN/NOTIFY.

Storage

S3-compatible object storage. Signed URLs. Resumable uploads. Direct download from edge. Private and public buckets.

pgvector

Vector embeddings stored and queried in Postgres. Semantic search, similarity matching, AI-aware schema from the start.

Our Process

Four steps to production.

01

Discover

Data model, access patterns, scale assumptions. We build the schema before we write the application.

02

Design

Database design, RLS policies, API surface. Every decision documented and reasoned.

03

Build

Edge functions, client SDKs, real-time listeners. Tested. Observed. Ready for load.

04

Scale

Monitoring, performance profiling, cost optimization. Supabase with Founder attention.

Reality

Supabase in production — what matters at scale.

Supabase is not a black box. You own the schema. You control the policies. You can query the logs. When your product grows from 100 users to 10,000, you already understand the system because you designed it with Supabase as the foundation, not an afterthought.

Most teams hit a scaling wall because they chose their database second. We choose it first. That is the difference between a product that survives and one that requires a rewrite at year two.

Next Step

Your product. Our architecture. One conversation to start.

Production-ready Supabase architecture in weeks, not months. With Founder-level attention on every decision.

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Questions

Frequently asked questions about Supabase development

Direct answers about how this engagement actually works. If your question is not here, ask Mohit directly.

Supabase when you want PostgreSQL power without managing a backend. You get auth, RLS, edge functions, and pgvector out of the box. Less suitable for highly custom logic or if you're already paying engineers for a backend. We've shipped 25+ Supabase projects from MVPs to scaled products.
A real-time app with Supabase and edge functions runs 150-250 hours. Complex RLS policies or pgvector implementations add 100 hours. That's 5-12 weeks. Supabase ships faster than traditional backends because you skip server boilerplate.
Full-stack Supabase engineers charge $50-60/hr. A 200-hour project at $55/hr = $11,000 plus your Supabase hosting costs. Supabase projects are cheaper than traditional backends at similar scale because you don't need a dedicated backend engineer.
RLS policies are Postgres WHERE clauses applied to every query. We start simple (user owns their row), then add complexity carefully. Complex policies get slow. We test policy performance before shipping. Most apps don't need complex RLS; data structure matters more.
Yes. pgvector for embeddings and similarity search. Edge functions for serverless compute on Supabase infrastructure. We've built RAG systems and AI search features in Supabase. Edge functions are great for low-latency compute near your data.
Your data is in PostgreSQL. Exporting to another Postgres instance or data warehouse is straightforward. Edge functions are JavaScript; migrating to another serverless platform is 40-80 hours. Supabase is portable enough that lock-in is minimal compared to Firebase.

Have a different question? Email the team or read the full FAQ.