Relational data architecture

PostgreSQL Database Engineering 

PostgreSQL is more than storage: constraints, transactions, indexes, and operational controls are part of the application’s correctness model.

How we use it

A technology choice is useful only when it improves the product or its operation.

We use PostgreSQL for systems where relationships, transactional consistency, flexible querying, and long-lived operational data matter. The schema is designed around business invariants and access patterns, then tested against realistic volume.

Architecture decisions
01Architecture decision

Data invariants

Enforce critical uniqueness, relationships, and allowed values close to the data.

TechnologyPostgreSQL Database Engineering
Where it mattersERP and CRM platforms
02Architecture decision

Index strategy

Design indexes for observed access paths and account for their write and storage cost.

TechnologyPostgreSQL Database Engineering
Where it mattersSaaS products
03Architecture decision

Concurrency

Reason about isolation, locking, contention, and duplicate requests in critical workflows.

TechnologyPostgreSQL Database Engineering
Where it mattersFinancial workflows
04Architecture decision

Recovery

Define backup, restoration, retention, and recovery objectives before an incident.

TechnologyPostgreSQL Database Engineering
Where it mattersInventory systems
Where it fits
01

ERP and CRM platforms

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02

SaaS products

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03

Financial workflows

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04

Inventory systems

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05

Reporting foundations

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06

Audit-sensitive operational software

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Engineering choices

Choose the architecture for the product you need to run.

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