Google Cloud BigQuery Graph vs SurrealDB

Google Cloud BigQuery Graph is a property graph database; SurrealDB is a multiple database. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #43 this month; SurrealDB (2022-07, BUSL-1.1, Rust) ranks #14.

Attribute Google Cloud BigQuery Graph #43 ▲10 Strong SurrealDB #14 = Strong
At a glance
Rank #43#14
Score 50.961.4
GitHub stars 33k
Popularity 73.762.7
Activity 49.871.8
Community 48.068.8
Research 49.651.6
Fundamentals
Description A graph layer within Google Cloud BigQuery that runs property graph queries over warehouse tables using GQL, without a separate graph store. Property graphs are defined as views over existing tables and queried at analytical scale.A multi-model database written in Rust that combines document, graph, and relational paradigms. Uses inter-document record links for graph traversals, with ACID transactions and row-level permissions.
Vendor GoogleSurrealDB
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseGrowing
First released 2026-042022-07
Status activeactive
License ProprietaryBUSL-1.1
Written in C++Rust
Query languages GQL, SQL/PGQSurrealQL, GraphQL, GQL
gdotv support yesno

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphSurrealDB
Community & Business
Active development
Commercial support
Live community 0.75
Open Source 0.5
Pricing
Trendiness
Deployment
Containerization
Work as dedicated instance
Work as embedded
Testing in-memory version
Platform
Operating on Linux
Operating on Windows
SaaS offering
Operations
Automatic updates ·
Client side caching ·
Data versioning support
Live backups ·
Distribution
Cluster Re-balancing
Data Distribution
High-Availability
Query Distribution
Replication support
Developer Experience
Data types defined 0.5
Logging/Auditing
Object-Graph Mapper
Reactive programming
Documentation up-to-date
Binary protocol
CLI
GUI
Data Model
Multi-database
Graph-native data
REST API
Query Language
Transactions
Granular locking ·
Multiple isolation levels 0.5
Read committed transaction
Transaction support
Schema & Security
Constraints
Schema support
Secondary indexes
Server side procedures
Triggers
Authentication
Authorization
Data encryption 0.5