PlanetScale Vitess vs SurrealDB
A detailed comparison to help you choose between PlanetScale Vitess and SurrealDB.
Quick Verdict
3.8/5
PlanetScale Vitess
0 reviews
3.6/5
SurrealDB
0 reviews
PlanetScale Vitess is rated higher (3.8 vs 3.6). Vitess is the CNCF-graduated, MySQL-compatible database system created at YouTube in 2010. It adds transparent horizontal sharding, online schema changes and automatic failure repair around MySQL; PlanetScale is its largest commercial contributor and managed offering. SurrealDB is a multi-model database that handles relational, document, graph, and full-text queries in a single database. Schema-optional, built-in auth, and real-time subscriptions.
PlanetScale Vitess CNCF-graduated MySQL-compatible sharding system, born at YouTube | SurrealDB Multi-model database with built-in real-time sync and WebSocket support | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (0 reviews)✓ | 3.6 (0 reviews) |
| Pricing model | free | freemium |
| Starting price | Free | Free tier available |
| Best for | Teams whose MySQL-compatible dataset no longer fits one node and who want sharding without rewriting the application — self-hosting Vitess with Kubernetes experience, or buying it managed through PlanetScale. | Teams building real-time, multi-model applications that would otherwise combine a document database, a search engine and a graph store |
| Specifications (entry plan) | ||
| CPU cores | — | 0 vCPU |
| RAM | — | 1 GB |
| Storage | — | 1 GB |
| Bandwidth | — | — |
| SLA uptime | — | — |
| Data-center count | — | 3 |
| €/GB RAM/mo | — | €0.00 |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | — | AWS Ireland (aws-euw1), AWS US East N. Virginia (aws-use1), AWS US West Oregon (aws-usw2) |
| Tags | ||
| Tags | free tieropen sourceself hostableapi access | free tieropen sourceself hostableapi access |
| Visit PlanetScale Vitess → | Visit SurrealDB → | |
PlanetScale Vitess
Pros
- + Free, foundation-governed software with YouTube-scale production provenance since 2011
- + Horizontal sharding transparent to the application, with live resharding and near-zero-downtime migrations
- + Online, non-blocking schema changes across shards with monitoring and fine-grained controls
- + Automatic primary failure detection and repair; point-in-time recovery without a binlog server since v18
- + Active, healthy project — 2,159 contributors tracked by CNCF, with public nightly benchmarks
Cons
- - Real operational burden: VTGates, VTTablets, topology store and a Kubernetes operator footprint to run yourself
- - Foreign keys are shard-scoped only (managed mode since v18); cross-shard constraints are still future work
- - Compatibility gaps under managed foreign keys — REPLACE INTO and INSERT ... ON DUPLICATE KEY UPDATE restricted, cyclic FKs rejected
- - No support contract or SLA on the free software; PlanetScale is the primary paid route
- - Massive overkill below the scale where a single MySQL node stops being enough
SurrealDB
Pros
- + One engine for relational, document, graph, time-series and geospatial data, plus full-text and vector search
- + Transparent published rate table with a real free instance (0.25 vCPU, 1 GB memory, 1 GB storage)
- + Hourly billing keeps development and prototype instances cheap
- + Granular permissions at table, document and field level defined in the schema
- + Self-hostable under BSL 1.1 with open-source (Apache 2.0 / MIT) SDKs as an exit path
Cons
- - Young database: 1.0 in 2023 and the storage engine is still being replaced
- - Only three AWS regions (Ireland, N. Virginia, Oregon) — nothing in APAC
- - Smaller ecosystem, tooling and hiring pool than PostgreSQL or MongoDB
- - Scale plan requires a three-node minimum; several advertised features are still marked coming soon
- - Custom SLAs only at Enterprise tier; backup retention policy for free instances is ambiguous in the docs
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