Data
PostgreSQL Development
We design PostgreSQL schemas where the database refuses invalid states, rather than hoping the application remembers to check.
Usage
What we build with PostgreSQL
- Relational schemas with constraints, indexes and migrations
- Movement ledgers and append only event tables
- Multi tenant schemas with row level security
- Full text search and vector similarity for retrieval
- Reporting models and materialised views
- Exclusion constraints for scheduling and booking
Rationale
Why we choose it
Constraints belong in the database
A unique index, a foreign key and a check constraint hold regardless of which code path wrote the row. Application level validation holds only for the paths someone remembered.
One database does several jobs
Relational data, JSON documents, full text search and vector similarity in one system removes the synchronisation problem that comes with a separate search or vector store.
Transactions make correctness possible
Multi step operations either complete or do not. Booking, inventory and billing depend on it.
You can take it anywhere
It runs on managed platforms, on a container and on your own hardware, so the schema is never a lock in.
Practice
Architecture patterns we use
Exclusion constraints for bookings
An exclusion constraint over a resource and a time range makes overlapping reservations impossible at the database level, which is the only reliable defence against a double booking under concurrency.
Row level security for tenancy
Policies scope every query to the current tenant, so an application bug that forgets a filter fails closed rather than leaking.
Append only ledgers
Stock, money and status history are modelled as immutable movements with derived balances, which makes every number explainable.
Keyset pagination
Long lists page on an indexed cursor rather than an offset, so page four hundred is as fast as page one.
Idempotency tables
Request keys stored with their responses, so a retried write returns the original result instead of duplicating.
Related work
Case studies to explore
These projects share relevant engineering concerns. Each study identifies its documented technology choices.
- Configurable CRM for Service BusinessesOne configurable CRM with tailored pipelines for lawn care, pest control, real estate, HVAC, nonmedical beauty and wellness services, and auto detailing.
- Strength Sports Community ArchitectureA completed product architecture and technical design engagement covering a PostgreSQL schema, Sinclair, DOTS and Wilks scoring, PR cards, and a delivery roadmap.
- B2B Lead Intake & CRM AutomationA completed integration for an anonymous B2B services client: website lead funnel, quote forms, CRM API ingestion, pipeline and AI automations, Resend email, and n8n orchestration.
Writing
Articles about PostgreSQL
- 21 September 2026 · 4 min readRetrieval over your own documents: what decides qualityMost retrieval systems fail on chunking, metadata and permissions rather than on the model. What to get right before choosing anything else.
- 11 September 2026 · 4 min readWhy your spreadsheet is the most valuable document in the businessThe file one person maintains usually contains rules nobody has written down. Extracting them is the highest value part of a modernization project.
- 15 September 2026 · 4 min readIdempotency: the idea that prevents duplicate everythingA lost response can turn a reasonable retry into a duplicate order, email or charge. Idempotency helps, but its boundary must include the actual effect.
- 8 September 2026 · 4 min readDead letter queues, and why silence is the worst failureA failed integration needs a visible recovery path. Retry budgets, failed work queues and reconciliation prevent errors from disappearing into logs.
- 9 September 2026 · 4 min readDeciding which system owns which fieldA sync cannot resolve conflicting business rules on its own. Decide who can write each field before connecting the systems.
- 7 September 2026 · 4 min readIntegrating with a system that has no APIExports, database replicas and file exchange are all workable. Screen scraping usually is not, and here is how to tell the difference.
Build with our PostgreSQL engineers
Tell us what you are building and what it has to connect to. We will come back with an approach, a scope and what it would take.
- A mutual NDA is signed before project details are shared.
- Scope is fixed in writing before any build starts.
- You own the source code, the IP and the documentation at delivery.
- Support plans are available and tailored on a discovery or technical call.