Haystack

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

DimensionMongoDBPostgreSQL
CategoryBackendBackend
Mid-level UK base£65k–£85k£70k–£90k
Senior UK base£90k–£130k£95k–£135k
Best forDocument schemas designed around read patterns, with embedded vs referenced decisions made deliberatelyHigh-write OLTP schemas with partitioning, BRIN indexes and careful vacuum tuning
Core ecosystemAtlas, Mongoose, Compass, Atlas SearchSQL, pgvector, TimescaleDB, Citus
First shortlist24 hours24 hours

FAQ

MongoDB vs PostgreSQL - common hiring questions

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