ბაზები6 წუთის საკითხავი
PostgreSQL or MongoDB: pick by shape, not by fashion
The question is what your data looks like and what you need to ask of it. Everything else is preference.
ეს სტატია ჯერ ინგლისურადაა. ვთარგმნით.
Both are excellent and both will run whatever you build. The choice matters at the edges, and the edges arrive later than you expect - usually the first time you need to ask a question the schema was not designed for.
Postgres, when relationships are the point
- Data with clear entities that reference each other - users, orders, items.
- Anything where a half-finished write is unacceptable. Transactions are the reason.
- Queries you have not thought of yet. SQL is good at questions nobody planned for.
- Reporting, aggregation and joins across several tables.
MongoDB, when documents are the point
- Records that vary in shape from one to the next.
- Data read back whole and written whole, in the shape the application already uses.
- Rapid iteration where the schema is still moving weekly.
- Event and log data, where volume matters more than joins.
The honest default
If you cannot decide, use Postgres. It handles documents perfectly well with JSONB when you need them, and the reverse is not true - a document store asked to behave relationally becomes joins written by hand in application code. The cost of choosing Postgres and not needing its strictness is much lower than the cost the other way round.