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Turso vs SurrealDB

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

Quick Verdict

4.1/5

Turso

0 reviews

3.6/5

SurrealDB

0 reviews

Turso is rated higher (4.1 vs 3.6). Turso offers SQLite-based databases at the edge for multi-tenant SaaS. Create thousands of database instances, each at a different edge location. Per-tenant isolation at SQLite pricing. 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.

Turso

Turso

Edge SQLite — create thousands of DB instances

SurrealDB

SurrealDB

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

Overview
Rating4.1 (0 reviews)✓3.6 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forMulti-tenant SaaS and AI agent workloads needing per-tenant SQLite databases replicated close to usersTeams 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
Storage5 GB✓1 GB
Bandwidth——
SLA uptime——
Data-center count30✓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 tierapi accessopen source
free tieropen sourceself hostableapi access
Visit Turso →Visit SurrealDB →

Turso

Pros

  • + True per-tenant database isolation at SQLite pricing — 100 databases free, unlimited from $5.99/mo
  • + Published pricing, overage rates, and even per-tier commit latency — rare transparency
  • + Edge replication across 30+ locations with placement you control per database
  • + Eleven-nines durability via S3-backed commits; MIT-licensed engine you can self-host
  • + SQLite file-format and SQL compatibility keeps local dev and production aligned

Cons

  • - No public uptime SLA on self-serve plans — the guarantee is durability, not availability
  • - Rows-read metering punishes unindexed queries; costs can surprise the careless
  • - EU databases still back up to S3 us-east-2 unless you bring your own buckets (Pro+)
  • - SQLite dialect limits rule out query-heavy relational workloads
  • - Big price jump from Scaler ($29/mo) to Pro ($499/mo) for priority support and compliance
View full Tursoreview →

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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