SurrealDB vs YugabyteDB
A detailed comparison to help you choose between SurrealDB and YugabyteDB.
SurrealDB Multi-model database with built-in real-time sync and WebSocket support | YugabyteDB Distributed SQL database built for global applications | |
|---|---|---|
| Overview | ||
| Rating | 3.9 (10 reviews) | 4.4 (116 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. | Teams building globally-distributed applications requiring strong consistency, high availability, and SQL compatibility without traditional database replication bottlenecks. |
| Tags | ||
| Tags | free tieropen sourceself hostableapi access | free tieropen sourcemanaged optioneu datacenterus datacenterapac datacenterapi access |
| Visit SurrealDB → | Visit YugabyteDB → | |
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
YugabyteDB
Pros
- + Maintain PostgreSQL code and queries while gaining horizontal scaling
- + Deploy across multiple regions with strong consistency guarantees
- + Handle failures transparently with automatic node failover
- + Scale reads and writes independently across a cluster
- + Use as managed service (Yugabyte Cloud) or self-hosted open-source
Cons
- - Operational complexity increases with distributed architecture—requires understanding eventual consistency modes
- - Smaller ecosystem compared to PostgreSQL or MongoDB for specialized tooling
- - Performance tuning across regions demands database expertise
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