SurrealDB vs Neon
A detailed comparison to help you choose between SurrealDB and Neon.
SurrealDB Multi-model database with built-in real-time sync and WebSocket support | Neon Serverless Postgres with branching and scale-to-zero | |
|---|---|---|
| Overview | ||
| Rating | 3.9 (10 reviews) | 4.6 (305 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Teams building real-time web and mobile applications requiring flexible data models and permission controls without operational complexity of managing multiple databases. | Developers using Next.js or serverless frameworks who want Postgres with branching at zero idle cost |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 0 GB |
| Storage | — | 0 GB |
| Bandwidth | — | 0 TB/mo |
| SLA uptime | — | 99.9% |
| Data-center count | — | 8 |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | — | United StatesEuropean Union |
| Tags | ||
| Tags | free tieropen sourceself hostableapi access | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source |
| Visit SurrealDB → | Visit Neon → | |
SurrealDB
Pros
- + Query multiple data models without context-switching between databases
- + Push real-time data updates to clients via built-in WebSocket support
- + Define row-level permissions directly in the database schema
- + Reduce infrastructure complexity with consolidated data layer
Cons
- - Smaller ecosystem and community compared to PostgreSQL or MongoDB
- - Learning curve for developers unfamiliar with its query syntax and schema approach
- - Limited third-party tool integrations for analytics and BI platforms
Neon
Pros
- + Scale-to-zero — no charges for idle databases
- + Database branching for preview environments
- + Generous free tier — 10 projects
Cons
- - Cold start latency when scaled to zero
- - Less mature than managed RDS for mission-critical
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.