Skip to content

MySQL · QalbIT

MySQL is not the point. The wait is.

We build with MySQL for teams whose users are waiting too long: measured outcomes, written scope, and IP in your accounts.

Nobody asks for MySQL. They ask why the dashboard takes four seconds and the form loses their input.

Typical before and afterApp type

Typical before and after
What users feelBefore · what we inheritAfter · MySQL
Time to interactiveHow long before a user can do anything4.2s1.1s74% faster
Page transitionMoving between screens once loaded1.8sInstantNo reload
Form round-tripSubmitting and seeing the result2.4s0.3sOptimistic
Mobile bounce ratePeople who leave before it loads46%19%−27 pts

Medians across MySQL rebuilds we have delivered · measured with Lighthouse and real-user data, before and after

48h

To a written scope

Week 1

Working prototype

Zero-downtime

Migrations, not downtime

100%

Code and IP yours

Schemas normalised for real workloads. Indexes chosen from the query plan. Migrations tested before they ship. Backups verified, not assumed. Performance measured, not claimed

What we build with MySQL


MySQL schema design and tuning for real workloads.

We help teams use MySQL where it shines: booking systems, membership and CRM-style records, and recruitment or HR platforms with a stable data model and a cost-conscious hosting budget.

  1. Schema design for real workloads

    Normalised tables for bookings, memberships and records that hold up under real usage, not just the demo dataset.

  2. Query & index tuning

    Slow reports and dashboards traced to the actual query plan and fixed, not guessed at.

  3. Replication & backups

    Read replicas and a tested backup and restore process, so a failed primary is an incident, not a data loss event.

  4. Migrations without downtime

    Schema changes rolled out in backward-compatible steps against a database that stays online throughout.

  5. Migration from other databases

    Spreadsheets, ad hoc stores or another database engine moved into a proper MySQL schema.

  6. Performance rescue

    Slow queries and lock contention profiled and fixed: measured before and after.

The MySQL layer over the stack that carries it
MySQL sits at the surface: the stack behind it matters just as much

How MySQL projects run here


A practical MySQL process, from audit to production.

We keep the MySQL process structured but lightweight, so we can deliver a working build in real time without surprising you on quality, timeline or budget.

  1. Schema audit

    We read the existing schema or the requirements, then propose table structure, indexes and the migration path.

    Week 1

  2. Indexing & query design

    The indexes and query patterns that keep a MySQL database fast as the row count grows: the decisions that stop a schema needing a rewrite at ten times the data.

    Week 1–2

  3. Implementation & integration

    Build or refactor components, wire them to APIs, handle loading, error and empty states properly.

    Sprint by sprint

  4. Testing, hardening & rollout

    Automated tests on critical paths, accessibility and performance passes, then a staged release.

    Pre-launch

  5. Ongoing support & features

    A standing team continues to ship features and keeps dependencies current.

    Post-launch

Where MySQL earns its keep


MySQL use cases we most often deliver.

Most of our MySQL work sits behind booking, membership and recruitment platforms, where the data model is stable and the priority is reliable, well-understood hosting.

  • Booking & scheduling systems

    Lanes, sessions and instructors modelled so a double booking is caught before it reaches a member.

  • Membership & CRM records

    Vacancies, candidates, employers and transactions in structured tables that a reporting query can actually use.

  • Recruitment & HR platforms

    A modular schema that scales to future HR tech integrations without a rewrite.

  • Legacy data migration

    Records moved off spreadsheets or an ageing database into a schema the next developer can read.

The stack around MySQL


The MySQL stack we typically use at QalbIT.

We usually pair MySQL with modern tooling: an ORM, a tested migration path and a documented data layer, so the application stays maintainable and predictable as the team changes.

  • Core

    • MySQL
    • Prisma or Sequelize ORM
    • InnoDB with read replicas
    • Percona Toolkit for migrations
  • Reliability & operations

    • Read replicas & failover
    • Point-in-time backups
    • Connection pooling
    • Slow query log analysis
  • Schema & migrations

    • Normalised schema design
    • Foreign keys & constraints
    • Zero-downtime migrations
    • Seed & fixture data
  • Quality & observability

    • EXPLAIN plan review
    • pt-query-digest
    • Automated backup testing
    • Percona Monitoring & Management

We adapt to what you already run. If your team already has schema and indexing conventions in place, we work inside them rather than rewriting for preference.

MySQL in production


Three products where MySQL is the surface.

Different sectors, same discipline: typed components, predictable state, and the client owning the code.

Start here


Hire MySQL developers who will still be proud of the code in year three.

Share your current front end, goals and the problems you want to solve. We will review your requirements, look at any existing code and propose a practical MySQL plan that matches your stage and budget.

  • A written scope with the exclusions listed
  • An architecture recommendation for state and components
  • The name of the engineer who would lead it
  • Free, and yours to keep either way

Get your free estimate

Three quick questions: scope, approach and a price range back within 48 hours. No sales call required first.

What do you need built?
When do you want to start?
Where should we send the estimate?

Answer all three questions above, then send.

NDA-friendly · IP yours from day one

FAQs · MySQL


MySQL development: frequently asked questions

Common questions about schema design, hosting cost and migrations, plus what happens after launch.

Ask us directly →
Applications with straightforward relational data and a cost-conscious hosting budget: booking systems, membership and CRM-style records, recruitment and HR platforms. If the data model is stable and the priority is reliable, well-understood hosting rather than exotic features, MySQL is usually the right call.
Both. For an existing database we start with a short audit: slow queries, missing indexes, and any schema decisions that are costing you more than they should at your current scale.
PHP and Laravel most often, or Node.js and NestJS where the team is JavaScript-based. We also work directly against a schema your team already owns.
A focused first release is usually six to ten weeks. A full product with integrations, billing and reporting runs ten to sixteen. You see a working schema and seed data in the first two weeks.
Yes. Most clients keep a small standing team for schema changes, index tuning and performance work, with 30 days notice to stop or scale down.
When the hosting budget is tight, the team already knows MySQL, or the application is a well-understood CRUD-style workload without a need for PostgreSQL’s more advanced types and extensions. Where the data model has complex constraints or heavy analytical queries, we say so and recommend PostgreSQL instead.
Send us the goal and any existing schema. You get a written scope, a schema or migration recommendation and a price range within 48 hours, free, and yours to keep either way.

Next step


Let’s plan your next MySQL build.

Dashboard, portal or product UI: send it in two lines and get a written scope, timeline and price range within 48 hours.