Database Design & Operations in Belgium — Rui Codex

Data is your most valuable asset.

We design robust database architectures that ensure data integrity, security, and sub-second query performance.

From SQL Server and PostgreSQL to MongoDB and Redis, we handle complex migrations and performance tuning for billions of records.

Use Cases

High-Volume Transactional Database Design

Schema design, partitioning, and indexing strategies for OLTP systems that stay responsive under millions of daily transactions — order processing, telemetry ingestion, and audit logging.

Reporting Warehouses & Analytics Models

Star-schema warehouses and read-optimized replicas that take analytical load off production systems, feeding dashboards and BI tools without slowing the business down.

Zero-Loss Database Migrations

Move between engines, versions, or hosts — SQL Server upgrades, on-premise to cloud, monolith to service-per-database — with rehearsed cutover plans and row-count reconciliation.

Performance Tuning & Query Optimization

Execution-plan analysis, index consolidation, and query rewrites that turn minute-long reports into sub-second responses — measured before and after, not guessed.

High Availability & Disaster Recovery

Failover clustering, log shipping, and tested restore procedures with recovery-time and recovery-point objectives your business actually signs off on.

GDPR Data Lifecycle & Retention

Data classification, anonymisation pipelines, retention schedules, and subject-access tooling built into the database layer, where compliance can be proven rather than promised.

Key Benefits

Queries tuned against measured execution plans, not folklore
Backup and restore procedures that are actually rehearsed
Schemas designed for the data volume you will have, not just today's
GDPR retention and anonymisation enforced at the data layer
Monitoring that flags degradation before users feel it

Technologies We Use

SQL Server / PostgreSQL MongoDB / NoSQL Redis Caching Elasticsearch Azure SQL / Managed Instances SSIS / ETL Pipelines Query Store / Profiling TDE / Row-Level Security

Our Approach

1

Workload & Schema Assessment

Profile real query patterns, data growth, and pain points before touching anything — the baseline every improvement is measured against.

2

Design & Remediation Plan

Prioritised plan covering schema changes, indexing, partitioning, and hardware or tier decisions, with expected impact per item.

3

Staged Implementation

Changes applied in reviewed, reversible batches — index by index, table by table — with performance measured at every step.

4

Migration & Validation

Where data moves, automated reconciliation verifies every row arrived intact before the old system is switched off.

5

Monitoring & Handover

Alerting on the metrics that matter, documented runbooks, and knowledge transfer so your team owns the result.

What You Get

Documented schema and data dictionary
Before/after performance benchmark report
Migration scripts with reconciliation output
Backup, restore and failover runbooks
Database health monitoring dashboard

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Ready to Get Started?

Let our engineering team assess your requirements and propose a tailored solution architecture.