Neo4j
Native graph database
Postgres
The world's most advanced open-source relational DB
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.
Pick Neo4j when graph traversals are the core of your product (fraud rings, knowledge graphs, social).
Pick Postgres when you need one DB for relational + occasional graph queries.
| Feature | 🕸️Neo4j | 🐘Postgres | Winner |
|---|---|---|---|
| Data model | Native graph | Relational (AGE extension for graph) | A |
| Query language | Cypher (expressive) | SQL + recursive CTE | A |
| Deep traversal perf | Excellent (index-free adjacency) | Degrades with depth | A |
| Tabular analytics | Limited | Excellent | B |
| Ecosystem | Graph-specific (GDS lib) | Vast | B |
| License | GPLv3 / Commercial | PostgreSQL (permissive) | B |
| Ops complexity | Dedicated ops | Standard DBA skills | B |
| Transactional consistency | ACID | ACID | Tie |
Data model
ANeo4j
Native graph
Postgres
Relational (AGE extension for graph)
Query language
ANeo4j
Cypher (expressive)
Postgres
SQL + recursive CTE
Deep traversal perf
ANeo4j
Excellent (index-free adjacency)
Postgres
Degrades with depth
Tabular analytics
BNeo4j
Limited
Postgres
Excellent
Ecosystem
BNeo4j
Graph-specific (GDS lib)
Postgres
Vast
License
BNeo4j
GPLv3 / Commercial
Postgres
PostgreSQL (permissive)
Ops complexity
BNeo4j
Dedicated ops
Postgres
Standard DBA skills
Transactional consistency
TieNeo4j
ACID
Postgres
ACID
Best for
Best for
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).
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.
Pick Neo4j when graph traversals are the core of your product (fraud rings, knowledge graphs, social).
Pick Postgres when you need one DB for relational + occasional graph queries.
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).
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.
Supabase is managed Postgres plus auth, storage, edge functions, and realtime. Plain Postgres gives you the same battle-tested engine without the batteries — you run it yourself. Supabase wins for speed-to-product; Postgres wins for full control and cost at scale.
Both are BaaS offerings. Supabase is Postgres-based (relational, SQL, open-source), Firebase is Firestore-based (NoSQL, proprietary, Google Cloud). Supabase wins if you want SQL, lower lock-in, and predictable pricing. Firebase wins for mobile-first apps tied to Google's ecosystem.
Both are mature open-source relational databases. Postgres has richer SQL (CTEs, window functions, JSON, arrays, extensions), stricter standards compliance, and better for complex analytics. MySQL is simpler, often faster on basic read-heavy workloads, and dominates WordPress/PHP ecosystems.
Not sure? Run both side by side — swap between them in your AI agent with a single config line.