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Cloud & Databases

PostgreSQL vs MongoDB

Postgres vs MongoDB decision: ACID transactions, JSONB vs BSON, vector search, multi-tenancy, replication, cost. Production guidance for SaaS founders.

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Pick PostgreSQL if…

Use Postgres for 95% of new B2B SaaS in 2026 — strong consistency, JSONB columns, pgvector for AI, row-level security for multi-tenancy.

Best for: B2B SaaS, fintech, AI/RAG apps, anything that needs joins or strong consistency.

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Pick MongoDB if…

Use MongoDB when documents are deeply nested, the write pattern is append-mostly (analytics events, logs), or sharding from day 1 is a hard requirement.

Best for: Event-sourced systems, content stores with deep nesting, products that need horizontal scaling from day 1.

Across 8 criteria: PostgreSQL wins 6, MongoDB wins 2, ties 0.

CriterionPostgreSQLMongoDBWinner
ACID transactionsStrong, multi-row, multi-tableSingle-document strong, multi-doc weakerPostgreSQL
JSON/document storageJSONB with GIN indexesNative BSONMongoDB
Full-text searchtsvector + pg_trgmAtlas Search (paid)PostgreSQL
Vector searchpgvector (in-DB)Atlas Vector SearchPostgreSQL
Horizontal scaleCitus, Aurora LimitlessNative shardingMongoDB
Managed optionsRDS, Aurora, Supabase, Neon, CrunchyAtlas (single vendor)PostgreSQL
Multi-tenancy isolationRow-level security (RLS)App-layer + DB-per-tenantPostgreSQL
LicenseOpen-source (PostgreSQL)SSPL (server) — restrictivePostgreSQL

PostgreSQL pros

  • +ACID + relational + JSON in one DB
  • +pgvector for AI/embeddings
  • +Row-level security for multi-tenancy
  • +Huge managed-options market

PostgreSQL cons

  • −Vertical scaling limits without Citus
  • −Sharding is harder than MongoDB

MongoDB pros

  • +Native sharding for horizontal scale
  • +Schema-on-read flexibility
  • +Atlas product is polished

MongoDB cons

  • −Atlas is the only first-class managed option
  • −SSPL license is restrictive
  • −Cross-document transactions are slower

Frequently asked

Can Postgres replace MongoDB?⌄

For 95% of MongoDB use cases yes — JSONB + GIN indexes give you document-shape storage with relational guarantees. For deep nested updates or extreme horizontal scale, MongoDB still wins.

Which is cheaper to run?⌄

Postgres on RDS or Aurora typically beats Atlas at similar capacity. Atlas wins when you actually need its sharding/replicaset automation.

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