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Read article"Which database is better?" is like asking "which is better: a hammer or a screwdriver?" The right question: how does your data live?
Where PostgreSQL excels
Real relationships
Order → customer → invoice → payment. When entities are tightly connected, the relational model encodes that truth in the schema and guarantees integrity at the database level.
Transaction integrity
Money transfers, stock decrements, bookings: all-or-nothing operations. PostgreSQL's ACID guarantees are the gold standard — which is why it is our unquestioned choice in systems like the Vektra ERP.
Reporting & complex queries
JOINs, window functions, CTEs: fifty years of SQL's analytical muscle answers "last quarter's sales trend by category" in a single query.
Where MongoDB shines
- Natural documents: a product catalog entry living as one self-contained record
- Truly variable schemas: IoT telemetry, third-party webhooks, log streams
- Horizontal scale first: native sharding for massive write volumes
The game changer: JSONB
PostgreSQL's JSONB support changed this debate years ago: indexable, queryable document fields inside relational tables. Core entities relational, flexible fields (galleries, feature lists, translations) as documents — both worlds in one database. This very site runs on that pattern.
A practical decision framework
- Is your data relational, with integrity that matters? → PostgreSQL
- Do you need transactions (money, stock, bookings)? → PostgreSQL
- Schema-less documents plus enormous write volume? → consider MongoDB
Our default
PostgreSQL until proven otherwise. Its maturity, tooling and JSONB flexibility make it the lowest-risk choice for ~90% of projects. If the database question is stalling your MVP, remember the principle from our MVP guide: boring and proven wins. Talk to us about your data architecture.