01 / 07 Service

Database Architecture & Data Systems

Persistence, schema design, caching, time-series storage, and data infrastructure choices matched to the product workload.

Schema

Data model

Caching

Performance

Time-Series

Specialized loads

02 / 07 What this covers

Postgres, SQLite, Redis, time-series stores, document databases, and the logic for choosing between them

This service is about selecting the right storage model, schema structure, caching layer, and runtime persistence approach for the product instead of defaulting to one database for every job.

Typical scope

Operational product databases, caches, analytics stores, and specialized persistence

That includes application schema design, account and product data modeling, caching strategy, time-series data, realtime persistence, and database choices that need to support both the current product and likely growth paths.

Why it matters

The storage model shapes the product more than many teams realize

A poor database choice creates friction everywhere else. A good one makes the product easier to scale, easier to reason about, and far less fragile when new features or heavier loads arrive.

03 / 07 Database range

Relational, document, cache, and time-series systems selected for the workload

The range here includes PostgreSQL, SQLite, Redis, KeyDB, TimescaleDB, QuestDB, DragonflyDB, SpacetimeDB, MongoDB, and adjacent tools. The real skill is knowing when each model helps and when it becomes the wrong constraint.

  • PostgreSQL
  • SQLite
  • Redis
  • TimescaleDB
  • QuestDB
  • MongoDB
  • DragonflyDB
  • SpacetimeDB

04 / 07 Proof

Work that already carries this

  • Skills page coverage for the database and platform range
  • Hosting service coverage for the surrounding infrastructure choices
  • Portfolio coverage for APIs, data systems, and runtime support work
  • NativeCharts as the deeper proof of time-series and systems-oriented thinking

05 / 07 The full range

Thirteen services, one engineer

Most projects cross more than one of these. They are listed separately because they are bought separately, not because they are delivered in isolation.

13 services in total · 7 sections on this page

07 / 07 The next move

Need the right data model and storage layer from the start?

If the product depends on the right schema, cache, or specialized data store, we can choose that architecture deliberately instead of patching around the wrong decision later.

See the Full Stack->Plan the Data Layer