Data & AI

Databases that stay fast, consistent and recoverable

The database is the part of your software nobody sees until it goes wrong. Slow pages, double-booked orders and lost records usually trace back to a schema or query that was never designed for the load it now carries. We design new databases properly and rescue the ones that are struggling.

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What we do

  1. 01

    Schema design

    Data models built around how your business actually works, with the constraints that stop bad records getting in.

  2. 02

    Performance tuning

    We find the slow queries, add the right indexes and rewrite the worst offenders, then measure the difference.

  3. 03

    Migrations and upgrades

    Moving from an old version, a different engine or a spreadsheet-based system with a rehearsed plan and a way back if anything fails.

  4. 04

    Backups and recovery

    Automated backups, point-in-time recovery where the engine supports it, and restore tests on a calendar so you know they work.

  5. 05

    Replication and scaling

    Read replicas, connection pooling and partitioning when one server is no longer enough.

  6. 06

    Database health checks

    A fixed-scope review of an existing database with a prioritised list of risks and fixes.

Design for the questions you will ask later

Most database problems are decided on the first day. A table that mixes customers and suppliers, prices stored as text, dates without a time zone: each one is harmless at a hundred records and painful at a million. We spend time on the data model before any code is written, walking through real scenarios such as refunds, partial deliveries and customers who change their name.

Where your business crosses borders, we plan for it early. That means storing currency alongside every amount, recording times in UTC and keeping personal data in a shape that makes requests under the NDPA, GDPR or UK GDPR easy to answer. Getting this right at the start costs very little. Fixing it later costs a migration.

Migrations without the weekend of panic

Moving data from an old system is where projects lose sleep. We rehearse every migration on a copy of your real data, compare record counts and totals between old and new, and write down the exact steps for the live cut-over, including how to roll back.

For systems that cannot go offline, we use replication to keep old and new in step and switch over in minutes. For smaller moves, a planned evening window is often enough. Either way, you see the reconciliation report before anyone calls it done.

We also look past the move itself. Old systems often carry years of workarounds: free-text fields used as status codes, the same customer saved under three spellings. A migration is the best moment to tidy these up, and we agree the rules with you so nothing changes without your say.

A backup is only real once you have restored it

Plenty of businesses discover their backups are broken on the day they need them. We automate backups, store copies in a separate location or account, and schedule restore tests so there is proof they work. You get a runbook that tells whoever is on duty what to do, in order, if the worst happens.

Alongside backups we set up monitoring for the warning signs that come before an outage: storage filling up, queries slowing down, replication falling behind. Alerts go to the person who can act on them, not to a shared inbox nobody reads. If you prefer, we can keep watch on a monthly support arrangement and handle routine upgrades and patching, so your database always runs on a supported, secure version.

What you get

  • Entity relationship diagram and data dictionary
  • Migration scripts kept in version control
  • Before-and-after query timings for every tuning change
  • Backup schedule with a documented, tested restore procedure
  • Monitoring alerts for storage, slow queries and replication lag
  • Access roles following least privilege
  • A written runbook for your team

Usual tools

PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, MongoDB, Redis, Amazon RDS, Cloud SQL, Azure SQL, Prisma, Flyway, pgBouncer. We choose tools for your requirements and your long-term running costs, not out of habit.

FAQ

Database Development: your questions answered

Which database should we use?

For most business applications, PostgreSQL is our default: it is free, reliable and handles both structured data and JSON well. We use MySQL or SQL Server when your existing software or hosting depends on them, and MongoDB where the data genuinely has no fixed shape.

Our application is slow. Is it the database?

Often, but not always. A health check measures where time is actually spent. If the database is the bottleneck, query and index fixes usually give the biggest gain for the least money.

Can you move us off spreadsheets or an old Access database?

Yes. We design a proper database, clean and import the existing records, and can build a simple web front end so staff keep working without retraining on something complicated.

How often should backups run?

It depends how much data you can afford to lose. For most transactional systems we set continuous or hourly backups plus a daily full copy, kept in a separate location.

Often paired with

All services

We take on Database Development projects for clients in Lagos, Abuja, Port Harcourt, Accra, Nairobi, Johannesburg, London, Manchester, Birmingham, Toronto, New York and Houston, and anywhere else you are.

Have a project in mind?

Email info@kollinzinc.com or send us a few details.