Database

Neo4j vs Postgres: Which MCP should you use?

🕸️

Neo4j

Native graph database

VS
🐘

Postgres

The world's most advanced open-source relational DB

TL;DR

Neo4j is a native graph database — stores nodes and relationships as first-class citizens, with Cypher query language optimized for deep traversals. Postgres with recursive CTEs or Apache AGE can model graphs too, and for most apps that only occasionally traverse relationships, Postgres wins on operational simplicity.

Neo4j: 3 winsPostgres: 4 wins1 tie
🕸️

Pick Neo4j

Pick Neo4j when graph traversals are the core of your product (fraud rings, knowledge graphs, social).

🐘

Pick Postgres

Pick Postgres when you need one DB for relational + occasional graph queries.

Feature-by-feature comparison

Data model

A

Neo4j

Native graph

Postgres

Relational (AGE extension for graph)

Query language

A

Neo4j

Cypher (expressive)

Postgres

SQL + recursive CTE

Deep traversal perf

A

Neo4j

Excellent (index-free adjacency)

Postgres

Degrades with depth

Tabular analytics

B

Neo4j

Limited

Postgres

Excellent

Ecosystem

B

Neo4j

Graph-specific (GDS lib)

Postgres

Vast

License

B

Neo4j

GPLv3 / Commercial

Postgres

PostgreSQL (permissive)

Ops complexity

B

Neo4j

Dedicated ops

Postgres

Standard DBA skills

Transactional consistency

Tie

Neo4j

ACID

Postgres

ACID

🕸️

Best for

Neo4j

  • Data model: Native graph
  • Query language: Cypher (expressive)
  • Deep traversal perf: Excellent (index-free adjacency)
🐘

Best for

Postgres

  • Tabular analytics: Excellent
  • Ecosystem: Vast
  • License: PostgreSQL (permissive)
  • Ops complexity: Standard DBA skills

Migration path

Neo4j→Postgres: export nodes as tables (label→table), relationships as join tables with source_id/target_id, rewrite Cypher MATCH patterns as JOIN chains or recursive CTEs. Postgres→Neo4j: use neo4j-admin import from CSV, model each FK relationship as an edge, and translate JOIN queries to Cypher (usually 3-5x shorter).

Frequently asked questions

What is the main difference between Neo4j and Postgres?

Neo4j is a native graph database — stores nodes and relationships as first-class citizens, with Cypher query language optimized for deep traversals. Postgres with recursive CTEs or Apache AGE can model graphs too, and for most apps that only occasionally traverse relationships, Postgres wins on operational simplicity. In short: Neo4j — Native graph database. Postgres — The world's most advanced open-source relational DB.

When should I pick Neo4j over Postgres?

Pick Neo4j when graph traversals are the core of your product (fraud rings, knowledge graphs, social).

When should I pick Postgres over Neo4j?

Pick Postgres when you need one DB for relational + occasional graph queries.

Can I migrate from one to the other?

Neo4j→Postgres: export nodes as tables (label→table), relationships as join tables with source_id/target_id, rewrite Cypher MATCH patterns as JOIN chains or recursive CTEs. Postgres→Neo4j: use neo4j-admin import from CSV, model each FK relationship as an edge, and translate JOIN queries to Cypher (usually 3-5x shorter).

Do Neo4j and Postgres both work with MCP-compatible AI agents?

Yes. Both have MCP servers installable via MCPizy (mcpizy install neo4j and mcpizy install postgres). They work identically across Claude Code, Claude Desktop, Cursor, Windsurf, and any other MCP-compatible client. You can install both side by side and route queries in your agent's prompt.

Install both with MCPizy

Not sure? Run both side by side — swap between them in your AI agent with a single config line.

$mcpizy install neo4j && mcpizy install postgres
Free to install. Swap between them in your agent config.