A slow query or a bad schema decision doesn't show up on day one — it shows up two years later, when your data has grown and everything built on top of it starts to strain. We design database architecture to hold up over that timeline, not just at launch.
This is core to everything we build. TrackGaddi, for example, processes real-time location data from a growing fleet of vehicles — that only works because of how the underlying data layer is structured and indexed.
Whether you need a new schema designed from scratch, a legacy database migrated to a modern platform, or an existing system tuned for performance, we treat the data layer as seriously as the application built on top of it.
Backup, disaster recovery, and security built in from the start, not added after an incident.
Indexing and query design that stays fast as your data grows, not just at launch volume.
Legacy data moved to modern platforms without losing history or breaking what depends on it.
Data structured to avoid redundancy and inconsistency, designed around how your application actually queries it.
Moving data off aging or unsupported platforms without downtime or data loss.
Query and index optimization for databases that are slowing down under real-world load.
Automated backups and recovery plans, so a failure is a non-event instead of a crisis.
Data modeled so reporting tools and dashboards can pull from it directly, without a mess of workarounds.
Azure and AWS managed database services set up and maintained, so infrastructure isn't something you have to babysit.
We treat every Database Solutions engagement like our own product — real ownership from the first conversation to what ships.
Manual and automated QA is baked into every sprint, not bolted on at the end — the same standard we hold when we build and run our own products.
You work directly with the engineers building your project — no account-manager relay slowing things down.