Technology & Engineering

Database Development

Schema design and query optimization that keeps performance predictable as data grows.

The Problem

Applications that were fast with a hundred records can slow to a crawl at a hundred thousand when the schema wasn't designed for scale.

Our Approach

We design normalized, indexed schemas from the start, and optimize existing databases — indexing, query rewrites, structural fixes — where performance has degraded.

Capabilities

  • Schema design and normalization
  • Index strategy and query optimization
  • Data migration between systems
  • Backup and recovery planning

Business Benefits

  • Predictable performance as your data grows
  • Fewer slow-query incidents in production
Process

How we'd approach this

Step 1

Discover

Understand your business, users, and current systems before proposing anything.

Step 2

Strategize

Define scope, architecture, and success metrics up front.

Step 3

Design

Interfaces and flows shaped around how your users actually work.

Step 4

Build

Engineering with regular checkpoints, not a black box until launch.

Step 5

Launch

A tested, documented release — not a rushed handoff.

Step 6

Optimize

Ongoing measurement and iteration after launch, not a one-time delivery.

Technology

  • MySQL
  • MariaDB
  • PostgreSQL

Have a system that needs to be built properly?

Tell us what you're trying to achieve. We'll help determine the right architecture, technology, and development approach.