Updated for 2026
Neo4jvsPostgreSQL
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
Neo4j
Neo4j is the mainstream graph database for modeling highly connected data — useful for knowledge graphs, fraud, and recommendations.
Visit Neo4jdev-database
PostgreSQL
PostgreSQL is the open-source relational database many modern stacks standardize on — powerful SQL, extensions, and a vast ecosystem.
Visit PostgreSQLBasics
| Feature | Neo4j | PostgreSQL |
|---|---|---|
| Released | 2007 | 1996 |
| Company | Neo4j, Inc. | PostgreSQL Global Development Group |
| Country | United States | International |
| Region / Availability | Self-host / multi-cloud | Self-host / multi-cloud |
Pricing comparison
| Plan | Neo4j | PostgreSQL |
|---|---|---|
| Model | freemium | open-source |
| Free tier | Yes | Yes |
| Starts at | $0/mo | $0/mo |
| Plan 1 | Community / Aura Free: Free | Open Source: Free |
| Plan 2 | Aura Professional: Usage-based | Managed clouds: Vendor pricingMany managed hosts available |
| Plan 3 | Enterprise: Custom | — |
Feature checklist
| Feature | Neo4j | PostgreSQL |
|---|---|---|
| Open Source | ✓ | ✓ |
| Self-host Option | ✓ | ✓ |
| ACID | Full ACID graph transactions | Full ACID compliance |
| Index Support | Range, text, point, full-text, and vector indexes | B-tree, Hash, GiST, GIN, BRIN, and extension indexes (e.g. vectors) |
| Concurrency | Strong for graph queries; clustering on Enterprise/Aura | Excellent MVCC for mixed read/write workloads |
| Scalability | Causal clustering / Aura scale for connected data | Vertical scale + replicas; sharding via extensions/ops |
| 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 | Graph database for knowledge graphs, recommendations, and fraud networks | General-purpose open-source relational database and extension hub |
Pros & cons
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
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
Dimension scores
Editorial 0–10 scores across shared dimensions — higher is better for that axis.
| Dimension | Neo4j | PostgreSQL |
|---|---|---|
| Capability | 8.5 | 9.2 |
| Privacy | 8.0 | 9.5 |
| Value | 7.5 | 9.5 |
| Depth | 9.0 | 9.5 |
| Ecosystem | 8.5 | 9.5 |
| DX | 8.0 | 8.0 |
- Neo4j
- PostgreSQL
FAQ
Is Neo4j better than PostgreSQL?
It depends on workflow. Neo4j emphasizes leading graph database for connected data, cypher queries, and knowledge graphs. PostgreSQL emphasizes advanced open-source relational database with rich sql, extensions, and reliability. Use the feature checklist above for your stack.
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Disclaimer:Not Financial or Investment Advice, Educational/Dev Tool Comparison Only. Information may change; always verify pricing on the vendor site before purchasing.