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SurrealDB vs PlanetScale

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

Quick Verdict

3.6/5

SurrealDB

0 reviews

4.2/5

PlanetScale

0 reviews

PlanetScale is rated higher (4.2 vs 3.6). 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. 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

SurrealDB

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

PlanetScale

PlanetScale

Serverless MySQL with database branching

Overview
Rating3.6 (0 reviews)4.2 (0 reviews)✓
Pricing modelfreemiumpaid
Starting priceFree tier available✓From $5/mo
Best forTeams building real-time, multi-model applications that would otherwise combine a document database, a search engine and a graph storeTeams running MySQL (or Postgres) at scale who want Vitess-grade sharding and safe, reviewable schema migrations without operating the infrastructure themselves
Specifications (entry plan)
CPU cores0 vCPU0 vCPU
RAM1 GB1 GB
Storage1 GB10 GB✓
Bandwidth—0 TB/mo
SLA uptime—99.99%
Data-center count319✓
€/GB RAM/mo€0.00✓€5.00
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)
12 AWS + 7 GCP regions incl. US, EU, APAC (Tokyo, Mumbai, Singapore, Sydney, Seoul) and South America (Sao Paulo)
Tags
Tags
free tieropen sourceself hostableapi access
free tiermanaged optionbackups includedeu datacenterus datacenterapi access
Visit SurrealDB →Visit PlanetScale →

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 →

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 →

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