Service

Database Solutions

Query performance is usually a schema decision made a year earlier. Most of the database work worth doing is either getting that decision right up front, or unwinding it carefully without downtime.

What's included

How we help

Schema design and modelling

Relational and document models designed around access patterns and integrity constraints rather than whatever shape the first feature suggested.

Query and index optimization

Profiling the queries that actually hurt, then fixing them with indexes, rewrites, or denormalisation where it genuinely earns its cost.

Migrations without downtime

Versioned, reversible migrations and staged rollouts for schema changes on live systems that cannot be taken offline.

Caching and analytics pipelines

Redis caching layers with coherent invalidation, plus reporting and warehouse pipelines that keep analytical load off the transactional database.

How we work

Our approach

Discovery profiles the current system under realistic load instead of guessing at the bottleneck. Design proposes schema and caching changes with the migration path attached. Build executes them incrementally and reversibly. Launch & Grow keeps monitoring in place afterwards.

See the full process

Typical stack

  • PostgreSQL
  • MongoDB
  • Redis
  • Node.js
  • Python
  • AWS

Proof

Where we've done this

Sports ยท Government Portal

Petroleum Sports Promotion Board

Official government sports portal for petroleum industry athletes with tournament management, player profiles, and championship tracking systems.

Government Portal Sports Management Athlete Tracking
Read case study

Let's collaborate

Need Databases?

Tell us what you're building and where it's stuck. We'll come back within 24 hours with a plan and a real range.

No commitment needed · Free 30-min strategy session