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PostgreSQL vs DynamoDB

A general-purpose relational DB vs a managed key-value/document store. Postgres gives full SQL and query flexibility you operate yourself; DynamoDB gives horizontal scale and zero ops for key-based access patterns, at the cost of query flexibility.

Query model

PostgreSQL
Full , joins, ad-hoc queries, transactions.
DynamoDB
Key + sort-key access only; no joins; limited secondary indexes.

Scaling

PostgreSQL
Single primary; you shard to scale writes.
DynamoDB
Scales horizontally automatically by key.

Ops

PostgreSQL
You run, tune, back up, and scale it.
DynamoDB
Fully managed; no (on-demand).

Consistency

PostgreSQL
Strong ; serializable available.
DynamoDB
Tunable; strong only on a single item, eventual for GSIs.

Cost shape

PostgreSQL
Instance + storage + IOPS; predictable.
DynamoDB
Per-request/throughput + storage; hot keys and GSIs can blow up cost.
When PostgreSQL wins
  • You need joins, ad-hoc queries, transactions, or rich types.
  • You can operate a and want full control.
When DynamoDB wins
  • Access patterns are key-based and known; you want zero DB ops.
  • Write throughput exceeds what a single Postgres primary can handle.

Verdict

Use Postgres when query flexibility and correctness matter; when access patterns are simple, key-based, and you want managed horizontal scale. Many systems use both — Postgres for relational data, DynamoDB for high-scale key lookups.