Database Architecture and Schema Design

Relational schemas, indexing strategies, and data models built for performance and long-term maintainability.

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Schemas Built for Performance

We design database architectures for businesses and development teams across the UK and Isle of Man. Relational schemas that model your business domain correctly, indexing strategies that support your application's query patterns, and data models that remain maintainable and performant as your data and requirements grow.

The decisions made during database design have a longer-lasting impact on a software system than almost any other engineering decision. A schema designed correctly from the start makes every subsequent development task - adding features, improving performance, generating reports, integrating new systems - simpler and cheaper. A schema designed poorly creates problems that compound continuously and eventually become too expensive to fix without a significant rewrite.

Every database architecture we design is the work of Owen Jones, OLXR's founder and lead engineer. We bring over a decade of production database experience to every design engagement - including the lessons learned from seeing what happens to databases that were not designed with the right principles from the start.

Who This Is For

Dev teams building new systems that need deep database expertise from the start
Businesses starting a new project and wanting the database foundation designed right from day one
Teams with a poorly structured inherited database that needs a proper redesign
Organisations whose database cannot support reporting or analytics efficiently
Dev teams competent at application code but lacking deep database architecture expertise
Growing businesses whose existing database is becoming a bottleneck as data volumes and user numbers increase

What We Deliver

Entity-Relationship Design

All entities, attributes, and relationships modelled correctly from the business domain.

Normalisation

Third normal form as standard, with deliberate denormalisation where justified by access patterns.

Indexing Strategy

Clustered and non-clustered indexes designed for your specific query patterns.

Constraints & Integrity

Foreign keys, check constraints, and uniqueness enforcing correctness at the database level.

Partitioning Strategy

Range, list, or hash partitioning where data volumes justify it.

Naming & Documentation

Consistent naming conventions and comprehensive schema documentation.

Performance Modelling

Estimation of query performance under expected and peak load conditions.

Security Architecture

Role-based access, encryption at rest and in transit, and audit logging designed into the schema from day one

Our Approach

1
Understand the Domain Before the Schema

A database schema is a model of a business domain. Before designing any schema, we invest time in understanding that domain thoroughly - what the entities are, what relationships exist between them, what constraints must always be true, and what questions the business needs the data to answer. A schema designed from deep domain understanding is naturally more correct and more stable than one designed from a list of required fields.

2
Design for the Access Patterns

The same data can be structured in many valid ways. The right structure depends on how the data will be accessed - what queries need to be fast, what aggregations need to be efficient, what data needs to be retrieved together. We design schemas with the application's access patterns as a primary input, not an afterthought.

3
Document for the Long Term

A database schema that is not documented is a knowledge management problem waiting to happen. We document every schema we design - entity definitions, relationship rationale, constraint explanations, and the reasoning behind key structural decisions. That documentation means the schema is understandable to any developer who works with it in the future, without requiring institutional memory.

Technologies We Use

SQL Server
PostgreSQL
MariaDB
SQLite
EF Core
AWS RDS
Azure SQL
Power BI
Tableau

Don't see your database platform? Get in touch.

Why Choose OLXR

Database architecture decisions are some of the longest-lived decisions in any system - schema choices made in week one constrain every feature for years afterwards. We design databases that handle today's requirements while leaving room for the requirements you have not anticipated yet.

Specialist Skill

Deep relational and schema design experience, not generalist guesswork

Built To Scale

Architecture that handles growth in users, data, and complexity

Integrity-First

Constraints, transactions, and indexing done properly from day one

Senior-Led

Designed by the founder, not delegated to juniors

Database decisions outlive almost every other choice in a system - we design schemas and access patterns that hold up under real load and real change, so the foundation stays solid.

OJ
Owen Jones
Founder & Lead Engineer

Frequently Asked Questions

Both are excellent relational databases with different strengths. SQL Server integrates well with the Microsoft ecosystem, has excellent tooling, and is often the right choice for businesses already running Windows infrastructure and .NET applications. PostgreSQL is open source, highly standards-compliant, and has strong support for advanced data types and extensions. We will recommend the right platform for your specific requirements, existing infrastructure, and team expertise.

Multi-tenancy can be implemented at several levels - shared tables with tenant identifiers, separate schemas per tenant, or separate databases per tenant. The right approach depends on your isolation requirements, compliance obligations, and scale expectations. We will recommend and implement the right approach for your specific situation.

Yes - but the design approach differs. Operational databases are optimised for transactional workloads. Analytical databases are optimised for large read queries across historical data. For systems that need both, we typically design a normalised operational schema and a separate analytical layer that serves reporting without impacting operational performance.

Ready to Design Your Database?

Tell us about your data requirements. We will give you an honest assessment of the right architecture for your needs.

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