Database Backend
Robust data foundations that scale as your product grows.
I design and build PostgreSQL, MongoDB, and Supabase backends optimised for AI workloads, real-time applications, and high-volume transactional systems. From schema design to query optimisation to vector storage — your data layer is built to handle production load from day one.
40%
Faster load times with caching
$50K+
Monthly transactions processed
SOC-2
Compliance-ready auth implementation
What's included
- PostgreSQL schema design, migrations, and indexing strategy
- Supabase setup with Row Level Security and real-time subscriptions
- Vector database configuration for AI/RAG workloads (pgvector, Pinecone)
- ORM setup with Prisma or TypeORM
- Redis caching layer for high-frequency read operations
- API layer with full CRUD, filtering, pagination, and auth
How it works
Model the Data
We design the entity-relationship model together before any tables are created. Normalization, indexing, and access patterns are planned upfront.
Build the Backend
The API layer is built on Node.js with full authentication, input validation, and error handling. Queries are optimised for the expected data volume.
Test & Harden
Load testing, security hardening (SQL injection, rate limiting), and backup strategies are configured before handing over to production.
Real projects using this service
Ready to get started?
Book a free 30-minute discovery call and let's scope out your project.