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PlanetScale vs SurrealDB

A detailed comparison to help you choose between PlanetScale and SurrealDB.

Quick Verdict

4.2/5

PlanetScale

0 reviews

3.6/5

SurrealDB

0 reviews

PlanetScale is rated higher (4.2 vs 3.6). Managed Postgres and MySQL (Vitess) databases with branching and zero-downtime schema changes. No free tier; Postgres starts at $5/month, Vitess at $39/month. 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

PlanetScale

Serverless MySQL with database branching

SurrealDB

SurrealDB

Multi-model database with built-in real-time sync and WebSocket support

Overview
Rating4.2 (0 reviews)✓3.6 (0 reviews)
Pricing modelpaidfreemium
Starting priceFrom $5/moFree tier available✓
Best forTeams running MySQL (or Postgres) at scale who want Vitess-grade sharding and safe, reviewable schema migrations without operating the infrastructure themselvesTeams building real-time, multi-model applications that would otherwise combine a document database, a search engine and a graph store
Specifications (entry plan)
CPU cores0 vCPU0 vCPU
RAM1 GB1 GB
Storage10 GB✓1 GB
Bandwidth0 TB/mo—
SLA uptime99.99%—
Data-center count19✓3
€/GB RAM/mo€5.00€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
12 AWS + 7 GCP regions incl. US, EU, APAC (Tokyo, Mumbai, Singapore, Sydney, Seoul) and South America (Sao Paulo)
AWS Ireland (aws-euw1), AWS US East N. Virginia (aws-use1), AWS US West Oregon (aws-usw2)
Tags
Tags
free tiermanaged optionbackups includedeu datacenterus datacenterapi access
free tieropen sourceself hostableapi access
Visit PlanetScale →Visit SurrealDB →

PlanetScale

Pros

  • + Built by the Vitess maintainers — branching, deploy requests and online schema migrations are first-class
  • + Three engines (Postgres, Vitess, sharded Neki) plus Metal local-NVMe tiers for I/O-heavy workloads
  • + Unusually transparent pricing: published SKU tables and a SQL-queryable per-region pricing endpoint
  • + Three-zone HA with automatic failover and a 99.99% SLA on HA configurations
  • + 19 AWS/GCP regions plus a bring-your-own-cloud Managed option for data-residency needs

Cons

  • - No free tier or trial — the Hobby plan was retired in April 2024
  • - Metered extras (storage, egress, backups, branch hours) make the real bill higher than sticker prices
  • - Vitess constraints: no foreign keys in the classic model and a real sharding learning curve
  • - Single-node $5 entry is not highly available; production HA starts at $15/month before usage
View full PlanetScalereview →

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
View full SurrealDBreview →

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