Schema design, migrations, performance tuning and backups, so the data under your applications stays correct, fast and recoverable.
The database is where an application's real value sits. We design schemas that model the business accurately, keep migrations safe and reversible, tune the queries that hurt, and put backup and recovery on a footing you can trust.
This is offered both as part of a build and as standalone work on an existing database that has grown slow, inconsistent or fragile.
Typical stack: PostgreSQL, MySQL/MariaDB, SQLite, MongoDB, Redis, migration frameworks, EXPLAIN/query profiling, automated backup tooling.
The data problems that get worse if left alone.
We profile the actual slow paths, add the right indexes, fix N+1 patterns, and reshape queries or schema where needed.
Constraints, keys and validation are added so the database enforces the rules, not just the application.
Versioned, tested, reversible migrations with a rollback plan, run the same way in every environment.
Automated backups plus a documented, rehearsed restore with a known recovery time and data-loss window.
Normalised, well-keyed schemas that model the domain and leave room to grow.
Safe, incremental change to a live schema without long downtime or data loss.
Query profiling, indexing strategy, and caching or denormalisation where it earns its place.
Finding and fixing bad data, then adding the constraints that stop it recurring.
Automated backups, point-in-time recovery, and read replicas or failover where uptime demands it.
Read models and a small warehouse so analytics does not slow the operational database.
We examine the schema, the slow paths, the data quality and the backup situation.
A prioritised set of changes, each with its migration and rollback approach.
Changes made on staging, verified against real data volumes, then rolled to production.
Backups tested, performance re-measured, and the schema and procedures documented.
The updated schema, all migrations version-controlled, and seed or fixture data where relevant.
How backups run, how to restore, the tested recovery time, and the performance baseline.
Usually yes. Most slow databases improve significantly from indexing, query fixes and a few targeted schema changes, well short of a rewrite.
We favour online, incremental migrations that avoid downtime. Where a brief window is unavoidable, it is planned, timed and communicated in advance.
For most business applications a relational database is the right default. We recommend NoSQL only where the access pattern genuinely calls for it, and say so plainly.
Yes, as part of a maintenance and support plan, covering monitoring, backups, capacity and periodic tuning.
Tell us what you are running and where it hurts, and we will scope the work.
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