Stack comparison
Hire MongoDB vs PostgreSQL developers
Side-by-side hiring data for MongoDB and PostgreSQL - salary bands, ecosystem skills, what each engineer actually ships, and how to brief Haystack for either.
Backend
MongoDB
MongoDB developers who model documents around access patterns, not screenshots from a tutorial.
Mid-level base · UK
£65k–£85k
Junior £45k–£60k · Senior £90k–£130k
Ecosystem
AtlasMongooseCompassAtlas SearchRealmNode.js
What they ship
- Document schemas designed around read patterns, with embedded vs referenced decisions made deliberately
- Aggregation pipelines that replace dozens of round-trips with a single query
- Atlas Search and vector search integrations for semantic and full-text features
Backend
PostgreSQL
PostgreSQL engineers who design for query plans, not just tables.
Mid-level base · UK
£70k–£90k
Junior £45k–£65k · Senior £95k–£135k
Ecosystem
SQLpgvectorTimescaleDBCituspgbouncerPatroni
What they ship
- High-write OLTP schemas with partitioning, BRIN indexes and careful vacuum tuning
- Logical replication pipelines feeding analytics warehouses and read replicas
- Zero-downtime migrations on tables with hundreds of millions of rows
Side by side
MongoDB vs PostgreSQL - at a glance
| Dimension | MongoDB | PostgreSQL |
|---|---|---|
| Category | Backend | Backend |
| Mid-level UK base | £65k–£85k | £70k–£90k |
| Senior UK base | £90k–£130k | £95k–£135k |
| Best for | Document schemas designed around read patterns, with embedded vs referenced decisions made deliberately | High-write OLTP schemas with partitioning, BRIN indexes and careful vacuum tuning |
| Core ecosystem | Atlas, Mongoose, Compass, Atlas Search | SQL, pgvector, TimescaleDB, Citus |
| First shortlist | 24 hours | 24 hours |
FAQ
MongoDB vs PostgreSQL - common hiring questions
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