PostgreSQL · QalbIT
PostgreSQL is not the point. The wait is.
We build with PostgreSQL for teams whose users are waiting too long: measured outcomes, written scope, and IP in your accounts.
Nobody asks for PostgreSQL. They ask why the dashboard takes four seconds and the form loses their input.
Typical before and afterApp type
| What users feel | Before · what we inherit | After · PostgreSQL |
|---|---|---|
| Time to interactiveHow long before a user can do anything | 4.2s | 1.1s74% faster |
| Page transitionMoving between screens once loaded | 1.8s | InstantNo reload |
| Form round-tripSubmitting and seeing the result | 2.4s | 0.3sOptimistic |
| Mobile bounce ratePeople who leave before it loads | 46% | 19%−27 pts |
Medians across PostgreSQL rebuilds we have delivered · measured with Lighthouse and real-user data, before and after
48h
To a written scope
Week 1
Working prototype
Constraints
Enforced at the database, not the app
100%
Code and IP yours
What we build with PostgreSQL
PostgreSQL data layers for products that cannot afford bad data.
We help founders and teams use PostgreSQL where it shines: real relationships between records, constraints the database enforces, and queries that stay fast as the data grows.
Schema design & migrations
Normalised schemas with the constraints and foreign keys that stop bad writes at the door, versioned in migrations.
Multi-tenant data isolation
Row-level security or schema-per-tenant, chosen deliberately rather than bolted on after a leak.
Reporting & analytics queries
Indexed, denormalised views for the reports that would otherwise bring a transactional table to its knees.
Query performance tuning
EXPLAIN-driven indexing and query rewrites for endpoints that have started timing out under real load.
Migration from MySQL or a document store
A schema and data migration off MySQL, MongoDB or Firestore, planned around the constraints PostgreSQL will finally enforce. Mapping a Mongo document to relational columns is easier once a JSON formatter for reading exported documents has untangled the nested export into something you can actually read.
Geospatial data with PostGIS
Location queries, radius search and mapping features backed by an index built for the job.
How PostgreSQL projects run here
A practical PostgreSQL process, from audit to production.
We keep the PostgreSQL process structured but lightweight, so we can deliver a working build in real time without surprising you on quality, timeline or budget.
Audit & architecture
We read the existing schema or the requirements, then propose the data model, indexing strategy and migration path.
Week 1
Schema & indexing design
Normalised tables and the indexes that match real query patterns: the decisions that stop a database rotting.
Week 1–2
Implementation & integration
Write migrations, wire the ORM or query layer to the schema, and handle transactions and failure states properly.
Sprint by sprint
Testing, hardening & rollout
Load-tested queries, backup and restore drills, then a staged migration with a rollback plan.
Pre-launch
Ongoing support & features
A standing team continues to ship schema changes and keeps the database healthy.
Post-launch
Where PostgreSQL earns its keep
PostgreSQL use cases we most often deliver.
Most of our PostgreSQL work sits behind a Node.js, NestJS or similar API layer, rather than being queried directly by a front end.
Billing and financial records
Transactions and ledgers where a constraint violation is far cheaper than a silent data error.
Multi-tenant SaaS data
Tenant, plan and usage records isolated cleanly enough to survive an audit.
Search, filtering and reporting
Full-text search and indexed filters that stay fast as the table passes millions of rows.
Database rescue and tuning
A slow, poorly indexed database stabilised without a full application rewrite.
The stack around PostgreSQL
The PostgreSQL stack we typically use at QalbIT.
We usually pair PostgreSQL with a typed ORM and a tested migration workflow, so the schema stays a deliberate decision rather than something that drifts.
Core
- PostgreSQL
- Prisma or Drizzle ORM
- pgBouncer connection pooling
- PostGIS where geospatial data applies
Query & schema tooling
- EXPLAIN-driven index tuning
- Row-level security
- Materialised views
- JSONB for semi-structured data
Access layer
- REST & GraphQL
- Zod validation
- Typed query builders
- Connection pooling
Operations
- Automated backups
- Point-in-time recovery
- Query performance monitoring
- Sentry or error tracking
We adapt to what you already run. If your team is on a different ORM or hosting provider, we work inside it rather than rewriting for preference.
PostgreSQL in production
Where PostgreSQL is the surface.
Same discipline on every build: constraints the database enforces, indexes that match real queries, and the client owning the code.
Start here
Hire PostgreSQL developers who will still be proud of the schema in year three.
Share your current schema, goals and the problems you want to solve. We will review your requirements, look at any existing database and propose a practical PostgreSQL plan that matches your stage and budget.
- A written scope with the exclusions listed
- A data model and indexing recommendation
- 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.
FAQs · PostgreSQL
PostgreSQL development: frequently asked questions
Common questions about schema design, migrations and query performance, plus what happens after launch.
Ask us directly →Next step
Let’s plan your next PostgreSQL build.
New schema, migration or a slow query worth fixing: send it in two lines and get a written scope, timeline and price range within 48 hours.
