PostgreSQL

Data Management with PostgreSQL

With over 35 years of development history, PostgreSQL is the world's most advanced open-source relational database management system. Its ACID compliance, robust MVCC (Multi-Version Concurrency Control) mechanism and comprehensive SQL standard support ensure critical business data is stored and queried securely.

At Detartech we use PostgreSQL particularly in projects where data integrity is critical, such as financial transactions, booking systems and user management. The JSONB data type lets us store schema-less data alongside relational structures and run hybrid queries. We implement search features natively with pg_trgm and full-text search without needing separate MongoDB Atlas Search.

Where does Detartech use PostgreSQL?

Our default database choice is relational, and PostgreSQL is at the centre of it. The Anneekspres marketplace was built from scratch with Python and Django on PostgreSQL; category-based filtering, search, and stock and order management in the seller panel all run on the same foundation. World Summer Schools brings hundreds of summer school programmes, filtered by age, country, programme type and date, into a single catalogue on Next.js, .NET and PostgreSQL. Lextum AI also uses PostgreSQL in its data layer.

When is PostgreSQL the right choice?

PostgreSQL is the right choice when the data has clear relationships, when transactions such as orders, payments and stock leave no room for inconsistency, and when filtering and reporting carry the weight. As described on our backend scaling service page, the database is usually the first thing to break under load; that is why indexes are added after reading the query plan, since an index added on a guess slows down writes and only moves the problem elsewhere.

When is PostgreSQL not the right choice?

In content-heavy projects where the schema changes often and records carry different fields, we move to the document side, where MongoDB creates less friction. For short-lived, frequently read data, a Redis cache is set up instead of going to the database every time. And if an existing system runs well on MySQL or MSSQL, we do not replace the database for the sake of a technology preference.