Skip to content

Data-driven platforms

Catalogues, registries, portals, marketplaces: applications whose difficulty is not the screens but the volume behind them. These are the projects where an ordinary web build starts fine and becomes unusable at year three.

We design the data model and the query paths first, because that is what decides whether the thing is still quick when it is full.

response timerows stored
Response time holds as the data grows

What you get

The data model is the design

Schema, indexing and query patterns are decided before the interface, not retrofitted when it gets slow.

Queries that scale

Faceted search over large datasets, using the right index rather than increasingly creative SQL.

Built to be measured

Instrumentation from day one, so a slowdown is a graph you can point at instead of an argument.

Hosted by the people who built it

We size the infrastructure against the real query load because we can see both sides.

Questions

How much data is “a lot”?

There is no useful number. A million simple records can be easy; a much smaller dataset with complex relationships, filtering and integrations can be difficult. We look at how the data is structured and used, not just how many rows there are.

Drupal or Laravel?

Drupal when its existing APIs, modules and integrations solve a meaningful part of the problem already. Laravel when the application calls for a more purpose-built foundation. We will tell you which fits the project, and why.

Do you work with our existing developers?

Yes. We are happy to take one part of a system, review someone else's code, or work inside your team's process.

Tell us what you are trying to build.

Describe the system you have in mind and we will tell you what it takes, what it costs, and whether we are the right people for it.