Updated for 2026
PostgreSQLvs
Neo4j
Not sure which fits your workflow in 2026? Compare pricing, features, and trade-offs — then switch tools below to explore more options in this category.
dev-database
PostgreSQL
PostgreSQL is the open-source relational database many modern stacks standardize on — powerful SQL, extensions, and a vast ecosystem.
Visit PostgreSQLdev-database
Neo4j
Neo4j is the mainstream graph database for modeling highly connected data — useful for knowledge graphs, fraud, and recommendations.
Visit Neo4jBasics
| Feature | PostgreSQL | Neo4j |
|---|---|---|
| Released | 1996 | 2007 |
| Company | PostgreSQL Global Development Group | Neo4j, Inc. |
| Country | International | United States |
| Region / Availability | Self-host / multi-cloud | Self-host / multi-cloud |
Pricing comparison
| Plan | PostgreSQL | Neo4j |
|---|---|---|
| Model | open-source | freemium |
| Free tier | Yes | Yes |
| Starts at | $0/mo | $0/mo |
| Plan 1 | Open Source: Free | Community / Aura Free: Free |
| Plan 2 | Managed clouds: Vendor pricingMany managed hosts available | Aura Professional: Usage-based |
| Plan 3 | — | Enterprise: Custom |
Feature checklist
| Feature | PostgreSQL | Neo4j |
|---|---|---|
| Open Source | ✓ | ✓ |
| Self-host Option | ✓ | ✓ |
| ACID | Full ACID compliance | Full ACID graph transactions |
| Index Support | B-tree, Hash, GiST, GIN, BRIN, and extension indexes (e.g. vectors) | Range, text, point, full-text, and vector indexes |
| Concurrency | Excellent MVCC for mixed read/write workloads | Strong for graph queries; clustering on Enterprise/Aura |
| Scalability | Vertical scale + replicas; sharding via extensions/ops | Causal clustering / Aura scale for connected data |
| SQL Support | ✓ | ✗ |
| Postgres Compatible | ✓ | ✗ |
| Serverless Database | ✗ | ✓ |
| Vector Search | ✓ | ✓ |
| Realtime | ✗ | ✗ |
| Built-in Auth | ✗ | ✗ |
| Blob / File Storage | ✗ | ✗ |
| Edge Compatible | ✗ | ✗ |
| AI SQL / NL Query | ✗ | ✗ |
| AI Schema Assist | ✗ | ✗ |
| AI Agent / MCP | ✗ | ✗ |
| Team Collaboration | ✓ | ✓ |
| Use Case | General-purpose open-source relational database and extension hub | Graph database for knowledge graphs, recommendations, and fraud networks |
Pros & cons
PostgreSQL
- Gold-standard open-source SQL engine
- Huge extension ecosystem (including vectors)
- Foundation for many modern BaaS platforms
- You assemble auth/storage yourself
- Ops complexity grows without a managed host
- Not a serverless product by itself
Neo4j
- Best-in-class graph model and Cypher
- Great for knowledge graphs and recommendations
- Aura managed option plus self-host
- Not a drop-in SQL/RDBMS replacement
- Graph modeling mindset required
- Cost can rise for large Aura workloads
Dimension scores
Editorial 0–10 scores across shared dimensions — higher is better for that axis.
| Dimension | PostgreSQL | Neo4j |
|---|---|---|
| Capability | 9.2 | 8.5 |
| Privacy | 9.5 | 8.0 |
| Value | 9.5 | 7.5 |
| Depth | 9.5 | 9.0 |
| Ecosystem | 9.5 | 8.5 |
| DX | 8.0 | 8.0 |
- PostgreSQL
- Neo4j
FAQ
Is PostgreSQL better than Neo4j?
It depends on workflow. PostgreSQL emphasizes advanced open-source relational database with rich sql, extensions, and reliability. Neo4j emphasizes leading graph database for connected data, cypher queries, and knowledge graphs. Use the feature checklist above for your stack.
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Related alternatives
Disclaimer:Not Financial or Investment Advice, Educational/Dev Tool Comparison Only. Information may change; always verify pricing on the vendor site before purchasing.