Data and databases

Good software needs good data underneath it.

We move it, clean it, connect it, and make it usable.

The problem

The number depends on who you ask.

Two systems disagree. A report takes a week. Nobody trusts the dashboard, so decisions get made on instinct instead.

We fix the layer underneath: schemas, pipelines, and reporting that produce one answer people believe.

Capabilities

What we work on

Database migration

Move platforms without losing history or breaking what reads from it.

ETL and pipelines

Get data where it needs to be, on a schedule you can rely on.

Reporting

Operational dashboards built on numbers that reconcile.

Data cleanup

Deduplicate, normalise, and fix what years of entry has done.

Data APIs

Let other systems read your data without direct database access.

High volume systems

Transactional workloads that stay fast as they grow.

From four answers to one
Four systems, four numbers Nobody trusts the dashboard
Pipelines and modelling ETL, reconciliation, one definition per metric Stork builds
A number people act on Reporting that survives being questioned

The hard part is agreeing what a metric means, not moving the rows.

What we work with

  • MySQL
  • MariaDB
  • SQL Server
  • PostgreSQL
  • ETL
  • Data warehousing
  • Reporting
  • Migrations
How it works

How a data project usually goes

  1. UnderstandWe start with the business problem and the systems you already have.
  2. DesignWe pick the simplest approach that solves it without adding complexity.
  3. BuildWe work in increments so you see progress early and can change direction.
  4. IntegrateWe connect it to the data, systems, and workflows it has to live with.
  5. SupportWe stay available after launch for changes and the things nobody predicted.

Have something complicated you need to get done?

Tell us what you're working on. Even if you are not sure what the answer looks like yet, we can help you find it.