🚀 Launching soon! Now booking projects for Q3 2026. Take a look at our services below 🧑‍🚀

Schemas That Make Sense. Queries That Don’t Crawl.

Database Design & Optimisation

Whether designing a data layer from scratch or rescuing an overloaded production database, we engineer setups built for high throughput.

Your application can only ever be as fast as your database. Unindexed tables, complex join logic, messy schemas, and locking errors under high load turn quick applications into timed-out bottlenecks. Throwing expensive cloud hardware at a bad database design is just a temporary, costly band-aid.

Our Clients

Service Offer Description

Database Design & Optimisation

Schemas that make sense. Queries that do not crawl.

Goal

Engineering teams dealing with frequent database timeouts, high cloud hosting costs, or planning heavily data-intensive features.

PostgreSQL MySQL MongoDB Redis Prisma pgAnalyze +more


We design relational and document databases from scratch, and we fix the ones that are slow or falling over. Indexing strategy, query optimisation, migrations, and backups — we cover the full picture.


Deliverables

  • · Optimized production schema structure and updated ERD maps
  • · Refactored SQL queries and custom index strategy setups
  • · Connection pooling, replica, and failover configurations
  • · Database caching and read/write splitting strategies
  • · Automated, tested backup and data recovery runbooks

Send an Email

Optimisation Process

How we do Database Design & Optimisation, in 4 Lean steps

We hate unnecessary complexity just as much as you do. Here is our straightforward process

Query Profiling

Step 1 of 4


We locate your slowest queries, missing indexes, and unoptimized schema relationships using live query analysis.

Index & Schema Tuning

Step 2 of 4


We safely inject targeted indexes, optimize join operations, and normalize or denormalize data paths for maximum speed.

Scaling Setup

Step 3 of 4


We implement connection pooling, read-replicas, or Redis layers to isolate heavy traffic away from your core transactional database.

Load Testing

Step 4 of 4


We simulate surge traffic to verify that the database scales predictably without locking tables or dropping connections.

Frequently Asked Questions

faqs icon
Can you optimize our database without taking our application offline?

Yes. Indexing, query tuning, and schema updates can be carefully deployed using concurrent operations and zero-downtime migration patterns that won't disrupt live users.

faqs icon
Do you specialize in SQL, NoSQL, or both?

We cover both. We optimize traditional relational databases (PostgreSQL, MySQL) where complex relationships matter, as well as document-based models (MongoDB, DynamoDB) tailored for rapid write scaling.

Featured projects & Case Studies

Our Work

Real problems solved. Real results delivered.
We don't just talk about building great backends. Here's proof..

97%

High-Volume Checkout API Engine

Fintza

Fintech

Fintza's checkout setup was dropping 30% of sales due to server timeout errors. We engineered a new payment API with resilient retry patterns and background queues, pushing transaction success up to 97%.


Case study

60%

Unified Medical Data Platform

PocketDoc

Medical Health

Patient profiles were scattered across three different internal software silos, slowing down daily operations. We built a single data access gateway that unifies records onto one screen in under two seconds.


Case study

5000+

Crash-Proof Enrollment Backend

Plurial College

Education

Plurial's old school database routinely crashed under heavy load during student registration weeks. We built an event-driven registration engine that processed 5,000 sign-ups with zero lag.


Case study

Is Your Backend Holding You Back?

Slow APIs. Failed audits. Systems that break under load?

We fix these problems. Book a free consultation and let's figure out what you actually need.